Deep Learning Based Diagnosis Of Melanoma On Dermatoscopic Images

Malignant melanoma is one of the common skin cancer causes for death. It occurs far less than any other skin cancer; and more likely it will be recorded and accurately diagnosed, other than any of the non-melanoma skin cancers. Melanoma is a type of skin cancer which develops as the cells responsible for producing pigment named melanocytes start to grow beyond their control. Therefore, prompt treatment along with an early diagnosis are essential. Instead, this work is focused on the multi-image technique for the diagnosis of melanoma including traditional methods based on CNN models. Overall, in this paper, three preset CNN models Resnet50 Alex Net MobileNetV2 will be combined with SVM.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/akgec62572.2024.10869088
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
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article

Deep Learning Based Diagnosis Of Melanoma On Dermatoscopic Images

Navya Prasad, Anupama Bhan, T Vijay, Bhoomi Jadon
Cutaneous Melanoma Detection and Management
article

Deep Learning Based Diagnosis Of Melanoma On Dermatoscopic Images

Navya Prasad, Anupama Bhan, T Vijay, Bhoomi Jadon
article en

Abstract

Malignant melanoma is one of the common skin cancer causes for death. It occurs far less than any other skin cancer; and more likely it will be recorded and accurately diagnosed, other than any of the non-melanoma skin cancers. Melanoma is a type of skin cancer which develops as the cells responsible for producing pigment named melanocytes start to grow beyond their control. Therefore, prompt treatment along with an early diagnosis are essential. Instead, this work is focused on the multi-image technique for the diagnosis of melanoma including traditional methods based on CNN models. Overall, in this paper, three preset CNN models Resnet50 Alex Net MobileNetV2 will be combined with SVM.

Amity University (IN)
Openalex Percentile: Top 57%
Cutaneous Melanoma Detection and Management
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