[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
New trends in melanoma detection using neural networks: a systematic review
D Popescu, M El-Khatib, H El-Khatib, L Ichim - Sensors, 2022 - mdpi.com
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …
disease today. The high mortality rate associated with melanoma makes it necessary to …
MT-TransUNet: Mediating multi-task tokens in transformers for skin lesion segmentation and classification
Recent advances in automated skin cancer diagnosis have yielded performance on par with
board-certified dermatologists. However, these approaches formulated skin cancer …
board-certified dermatologists. However, these approaches formulated skin cancer …
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network
The need for CT scan analysis is growing for diagnosis and therapy of abdominal organs.
Automatic organ segmentation of abdominal CT scan can help radiologists analyze the …
Automatic organ segmentation of abdominal CT scan can help radiologists analyze the …
Simplification of neural networks for skin lesion image segmentation using color channel pruning
Automatic analysis of skin abnormality is an effective way for medical experts to facilitate
diagnosis procedures and improve their capabilities. Efficient and accurate methods for …
diagnosis procedures and improve their capabilities. Efficient and accurate methods for …
Deep learning model for skin lesion segmentation: Fully convolutional network
Segmentation of skin lesions is a crucial task in detecting and diagnosing melanoma cancer.
Incidence of melanoma skin cancer which is the most deadly form of skin cancer has been …
Incidence of melanoma skin cancer which is the most deadly form of skin cancer has been …
Two approaches to supervised image segmentation
Though performed almost effortlessly by humans, segmenting 2D gray-scale or color images
in terms of their constituent regions of interest (eg~ background, objects or portions of …
in terms of their constituent regions of interest (eg~ background, objects or portions of …
[PDF][PDF] Skin lesion analysis: A state-of-the-art survey, systematic review, and future trends
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
Deep learning in medical applications: Lesion segmentation in skin cancer images using modified and improved encoder-decoder architecture
The rise of deep learning techniques, such as a convolutional neural network (CNN) in
solving medical image problems, offered fascinating results that motivated researchers to …
solving medical image problems, offered fascinating results that motivated researchers to …
Semantic segmentation of skin lesions using a small data set
B Sirmacek, M Kivits - arXiv preprint arXiv:1910.10534, 2019 - arxiv.org
Early detection of melanoma is difficult for the human eye but a crucial step towards
reducing its death rate. Computerized detection of these melanoma and other skin lesions is …
reducing its death rate. Computerized detection of these melanoma and other skin lesions is …