Ti-FCNet: Triple fused convolutional neural network-based automated skin lesion classification
Cancer is one of the most severe forms of disease that adversely threaten human life in
recent years. Considering different categories of cancer, skin cancer seems to be a high risk …
recent years. Considering different categories of cancer, skin cancer seems to be a high risk …
Deep learning based novel cascaded approach for skin lesion analysis
Patients diagnosed with skin cancer like melanoma are prone to a high mortality rate.
Automatic lesion analysis is critical in skin cancer diagnosis and ensures effective treatment …
Automatic lesion analysis is critical in skin cancer diagnosis and ensures effective treatment …
A novel multi-task deep learning model for skin lesion segmentation and classification
In this study, a multi-task deep neural network is proposed for skin lesion analysis. The
proposed multi-task learning model solves different tasks (eg, lesion segmentation and two …
proposed multi-task learning model solves different tasks (eg, lesion segmentation and two …
Refined residual deep convolutional network for skin lesion classification
KM Hosny, MA Kassem - Journal of Digital Imaging, 2022 - Springer
Skin cancer is the most common type of cancer that affects humans and is usually
diagnosed by initial clinical screening, which is followed by dermoscopic analysis …
diagnosed by initial clinical screening, which is followed by dermoscopic analysis …
Skin melanoma classification using ROI and data augmentation with deep convolutional neural networks
KM Hosny, MA Kassem, MM Foaud - Multimedia Tools and Applications, 2020 - Springer
Automatic classification of color images of skin helps clinicians and dermatologists in
examining and investigating skin melanoma. In this paper, a new deep convolutional neural …
examining and investigating skin melanoma. In this paper, a new deep convolutional neural …
Deep Learning–Based Skin Lesion Multi-class Classification with Global Average Pooling Improvement
PVSP Raghavendra, C Charitha, KG Begum… - Journal of Digital …, 2023 - Springer
Cancerous skin lesions are one of the deadliest diseases that have the ability in spreading
across other body parts and organs. Conventionally, visual inspection and biopsy methods …
across other body parts and organs. Conventionally, visual inspection and biopsy methods …
A deep learning model integrating FrCN and residual convolutional networks for skin lesion segmentation and classification
MA Al-Masni, MA Al-Antari, HM Park… - 2019 IEEE Eurasia …, 2019 - ieeexplore.ieee.org
Automated diagnosis of various skin lesion diseases through medical dermoscopy images is
still a very challenging task. In this work, an integrated model for segmentation of skin lesion …
still a very challenging task. In this work, an integrated model for segmentation of skin lesion …
Skin cancer segmentation and classification with improved deep convolutional neural network
In the last few years, Deep Learning (DL) has been showing superior performance in
different modalities of bio-medical image analysis. Several DL architectures have been …
different modalities of bio-medical image analysis. Several DL architectures have been …
DTLNet: Deep Transfer Learning-based Hybrid Model for Skin Lesion Detection and Classification
Skin cancer is the one of the most common cancer due to the increment of radiation in
environment. Different types of skin cancer evolving every year, and it is challenging task for …
environment. Different types of skin cancer evolving every year, and it is challenging task for …
Deep learning and transfer learning for skin cancer segmentation and classification
L Li, W Seo - 2021 IEEE 21st International Conference on …, 2021 - ieeexplore.ieee.org
According to Skin Cancer Foundation, skin cancer is by far the most common type of cancer
in the United States and worldwide. Early diagnosis of skin cancer is critical because proper …
in the United States and worldwide. Early diagnosis of skin cancer is critical because proper …