Predictive Identification of Malignant Melanoma from Fractional Differentiation-based Image Enhancement
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Abstract
Recent advancements in computer vision and artificial intelligence allow for the automatic detection of some abnormalities in medical photographs. One of these is a skin lesion, and prompt and accurate detection of these conditions substantially aids in treatment. When image processing is combined with the fundamental edge detection technique, there has been potential demonstrated in the automatic identification and delineation of boundaries inside skin lesions. In this work, we investigate how to improve edge-detection in photos using fractional differentiation. We present a fractional differential filter based method for edge detection in images of skin lesions. The original photos are then improved with the help of the derived images. During acquisition, acquired images are classified using deep learning models. In the experiments, a well-researched dataset of HAM10000 is employed. The outcomes demonstrate how well these filters work to cut through noise and pick up minute edge characteristics that can provide useful information while performing recognition tasks.
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References
Vesal, Sulaiman, Nishant Ravikumar, and Andreas Maier. "SkinNet: A deep learning framework for skin lesion segmentation." In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC), pp. 1-3. IEEE, 2018.
Xie, Yutong, Jianpeng Zhang, Yong Xia, and Chunhua Shen. "A mutual bootstrapping model for automated skin lesion segmentation and classification." IEEE transactions on medical imaging 39, no. 7 (2020): 2482-2493.
Joshi, Aparna, Rupali Bagate, Yogita Hambir, Ashwini Sapkal, Nilesh P. Sable, and Mahesh Lonare. "System for Detection of Specific Learning Disabilities Based on Assessment." International Journal of Intelligent Systems and Applications in Engineering 12, no. 9s (2024): 362-368.
Rajesh, A. "Classification of malignant melanoma and Benign Skin Lesion by using back propagation neural network and ABCD rule." In 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE), pp. 1-8. IEEE, 2017.
Mutkule, Prasad Raghunath, Nilesh P. Sable, Parikshit N. Mahalle, and Gitanjali R. Shinde. "Predictive Analytics Algorithm for Early Prevention of Brain Tumor using Explainable Artificial Intelli-gence (XAI): A Systematic Review of the State-of-the-Art." Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications (2023): 69.
Celebi, M. Emre, Q. U. A. N. Wen, H. I. T. O. S. H. I. Iyatomi, K. O. U. H. E. I. Shimizu, Huiyu Zhou, and Gerald Schaefer. "A state-of-the-art survey on lesion border detection in dermoscopy images." Dermoscopy image analysis 10, no. 1 (2015): 97-129.
Baig, Ramsha, Maryam Bibi, Anmol Hamid, Sumaira Kausar, and Shahzad Khalid. "Deep learning approaches towards skin lesion segmentation and classification from dermoscopic images-a review." Current Medical Imaging 16, no. 5 (2020): 513-533.
Sable, Nilesh P., Vijay U. Rathod, Mangesh D. Salunke, Hemantkumar B. Jadhav, Ravindra S. Tambe, and Suhas R. Kothavle. "Enhancing Routing Performance in Software-Defined Wireless Sensor Networks through Reinforcement Learning." International Journal of Intelligent Systems and Applications in Engineering 11, no. 10s (2023): 73-83.
Kaymak, Ruya, Cagri Kaymak, and Aysegul Ucar. "Skin lesion segmentation using fully convolutional networks: A comparative experimental study." Expert Systems with Applications 161 (2020): 113742.
Kumar, M. Ravi, J. Lakshmi Prasanna, Varanasi Sri Harsha Vardhan, M. B. V. Swamulu, G. K. Kumar, S. Cheerla, and C. Santhosh. "Image enhancement for ultrasound images using Sobel edge detection." Journal of Critical Reviews 7, no. 13 (2020): 390-394.
Shafiabadi, Mina, Abolghasem Kamkar-Rouhani, Seyed Reza Ghavami Riabi, Amin Roshandel Kahoo, and Behzad Tokhmechi. "Identification of reservoir fractures on FMI image logs using Canny and Sobel edge detection algorithms." Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 76 (2021): 10.
Gawali, Piyush P., Parikshit N. Mahalle, Gitanjali R. Shinde, Nilesh P. Sable, Dattatray G. Takale, and Janki Barot. "Quantum Key Distribution and Blockchain Based Secure Authentication in Medical Cyber-Physical Systems." In International Conference on ICT for Sustainable Development, pp. 607-622. Singapore: Springer Nature Singapore, 2023.
Chen, Guobin, Zhiyong Jiang, and M. M. Kamruzzaman. "Radar remote sensing image retrieval algorithm based on improved Sobel operator." Journal of Visual Communication and Image Representation 71 (2020): 102720.
Prasantha, H. S. "Edge detection algorithms on digital signal processor DM642." International Journal of Creative Research Thoughts 8, no. 9 (2020): 1-6.
Sable, Nilesh P., and Vijay U. Rathod. "Rethinking Blockchain and Machine Learning for Resource-Constrained WSN." In AI, IoT, Big Data and Cloud Computing for Industry 4.0, pp. 303-318. Cham: Springer International Publishing, 2023.
Miller, Kenneth S., and Bertram Ross. "An introduction to the fractional calculus and fractional differential equations." (No Title) (1993).
Vesal, Sulaiman, Nishant Ravikumar, and Andreas Maier. "SkinNet: A deep learning framework for skin lesion segmentation." In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC), pp. 1-3. IEEE, 2018.
Xie, Yutong, Jianpeng Zhang, Yong Xia, and Chunhua Shen. "A mutual bootstrapping model for automated skin lesion segmentation and classification." IEEE transactions on medical imaging 39, no. 7 (2020): 2482-2493.
Wang, Jiacheng, Lan Wei, Liansheng Wang, Qichao Zhou, Lei Zhu, and Jing Qin. "Boundary-aware transformers for skin lesion segmentation." In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I 24, pp. 206-216. Springer International Publishing, 2021.
Song, Lei, Jianzhe Lin, Z. Jane Wang, and Haoqian Wang. "An end-to-end multi-task deep learning framework for skin lesion analysis." IEEE journal of biomedical and health informatics 24, no. 10 (2020): 2912-2921.
Zafar, Kashan, Syed Omer Gilani, Asim Waris, Ali Ahmed, Mohsin Jamil, Muhammad Nasir Khan, and Amer Sohail Kashif. "Skin lesion segmentation from dermoscopic images using convolutional neural network." Sensors 20, no. 6 (2020): 1601.
Kharate, Namrata, Sanket Patil, Pallavi Shelke, Gitanjali Shinde, Parikshit Mahalle, Nilesh Sable, and Pranali G. Chavhan. "Unveiling the Resilience of Image Captioning Models and the Influence of Pre-trained Models on Deep Learning Performance." International Journal of Intelligent Systems and Applications in Engineering 11, no. 9s (2023): 01-07.
Chaikan, Panyayot, and Somsak Mitatha. "Improving the Addweighted Function in OpenCV 3.0 Using SSE and AVX Intrinsics." International Journal of Engineering and Technology 9, no. 1 (2017): 45.
Yamashita, Rikiya, Mizuho Nishio, Richard Kinh Gian Do, and Kaori Togashi. "Convolutional neural networks: an overview and application in radiology." Insights into imaging 9 (2018): 611-629.
Sable, Nilesh P., Ratnmala Bhimanpallewar, Raj Mehta, Sara Shaikh, Anay Indani, and Soham Jadhav. "A Machine Learning approach for Early Detection and Prevention of Obesity and Overweight." In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp. 1-5. IEEE, 2023.
Tan, Mingxing, and Quoc Le. "Efficientnetv2: Smaller models and faster training." In International conference on machine learning, pp. 10096-10106. PMLR, 2021.
Li, Na, Jiameng Xue, Sibo Wu, Kunde Qin, and Na Liu. "Research on Coal and Gangue Recognition Model Based on CAM-Hardswish with EfficientNetV2." Applied Sciences 13, no. 15 (2023): 8887.
Devi, R. S., V. R. Kumar, and P. Sivakumar. "EfficientNetV2 Model for Plant Disease Classification and Pest Recognition." Computer Systems Science & Engineering 45, no. 2 (2023).
Sable, Nilesh P., Mangesh D. Salunke, Vijay U. Rathod, and Prashant Dhotre. "Network for Cross-Disease Attention to the Severity of Diabetic Macular Edema and Joint Retinopathy." In 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), pp. 1-7. IEEE, 2022.
Rathod, Vijay U., and Shyamrao V. Gumaste. "Effect of Deep Channel to Improve Performance on Mobile Ad-Hoc Networks." Journal of Optoelectronics Laser 41, no. 7 (2022): 754-756.
Railkar, P. N., P. N. Mahalle, G. R. Shinde, and N. P. Sable. "Policy-Aware Distributed and Dynamic Trust Based Access Control Scheme for Internet of Things." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 1s (2022): 155-6.
Tschandl, Philipp, Cliff Rosendahl, and Harald Kittler. "The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions." Scientific data 5, no. 1 (2018): 1-9.
Tschandl, Philipp, Cliff Rosendahl, and Harald Kittler. "The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Scientific Data. 2018; 5: 180161." Search in 2 (2018).
Maji, Suman Kumar, Hussein M. Yahia, and Hicham Badri. "Reconstructing an image from its edge representation." Digital Signal Processing 23, no. 6 (2013): 1867-1876.
Sobel, Irwin, and Gary Feldman. "A 3x3 isotropic gradient operator for image processing." a talk at the Stanford Artificial Project in (1968): 271-272.
Sobel, Irwin Edward. Camera models and machine perception. stanford university, 1970.
Codella, Noel CF, David Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo et al. "Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin imaging collaboration (isic)." In 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018), pp. 168-172. IEEE, 2018.
Codella, Noel, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen Dusza, David Gutman, Brian Helba et al. "Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic)." arXiv preprint arXiv:1902.03368 (2019).
Milton, Md Ashraful Alam. "Automated skin lesion classification using ensemble of deep neural networks in isic 2018: Skin lesion analysis towards melanoma detection challenge." arXiv preprint arXiv:1901.10802 (2019).
Adegun, Adekanmi, and Serestina Viriri. "Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art." Artificial Intelligence Review 54 (2021): 811-841.
Kamble, Vipin Milind, Pallavi Parlewar, Avinash G. Keskar, and Kishor M. Bhurchandi. "Performance evaluation of wavelet, ridgelet, curvelet and contourlet transforms based techniques for digital image denoising." Artificial Intelligence Review 45 (2016): 509-533.
Jagtap, Vandana, Uma Pujeri, Pallavi Parlewar, Someshwar Landge, Aniket Ghorpade, Abhilash Alshi, and Hitesh Khutade. "Biometric face recognition system using deep dream and CNN." International Journal of Intelligent Systems and Applications in Engineering 11, no. 10s (2023): 145-154.