Proposed ResUNet++ and modified AlexNet-RF based segmentation and classification of skin lesion.

Proposed ResUNet++ and modified AlexNet-RF based segmentation and classification of skin lesion.

<p>Proposed ResUNet++ and modified AlexNet-RF based segmentation and classification of skin lesion.</p>

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Bibliographic Details
Main Author:	Saleem Mustafa (12152170) (author)
Other Authors:	Arfan Jaffar (19105558) (author), Muhammad Rashid (2836613) (author), Sheeraz Akram (17251060) (author), Sohail Masood Bhatti (19105561) (author)
Published:	2025
Subjects:	Medicine Cell Biology Developmental Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified received wrong diagnosis rather enormous task method takes advantage ham10000 data set fairly good chance obtained results show based technique takes achieve accurate benign random forest robustness medical image segmentation alexnet &# 8217 produce better segmentation random forest ability robust lesion classification classification </ p using resunet ++, giving better segmentation skin lesions analysis random forest resunet ++, better segmentation accurate segmentation classification results subsequent analysis based classifier surrounding skin skin lesions segmentation precision segmentation cuts enhanced segmentation classification phase utilized approach simpler models previous ones popular datasets paper offers modified alexnet malignant classifications level becomes isolation enables intensively validated highly proficient high probability fatal disease early stages diagnostic identification deep learning dedicated area considered globally cleansed images background noise aforementioned diseases
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