[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 …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
Melanoma segmentation using deep learning with test-time augmentations and conditional random fields
In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in
shape and size of the skin lesion makes the segmentation task more challenging. Lesion …
shape and size of the skin lesion makes the segmentation task more challenging. Lesion …
An improved multi-scale feature fusion for skin lesion segmentation
L Liu, X Zhang, Y Li, Z Xu - Applied Sciences, 2023 - mdpi.com
Accurate segmentation of skin lesions is still a challenging task for automatic diagnostic
systems because of the significant shape variations and blurred boundaries of the lesions …
systems because of the significant shape variations and blurred boundaries of the lesions …
Multi-scale aggregation networks with flexible receptive fields for melanoma segmentation
J Zhang, W Pan, B Wang, Q Chen, Y Cheng - … Signal Processing and …, 2022 - Elsevier
Skin lesions Segmentation in dermatoscopic images is an important step in automatic
diagnosis of melanoma. Due to various of shape and size in skin lesions, this is still a …
diagnosis of melanoma. Due to various of shape and size in skin lesions, this is still a …
An automatic approach to detect skin cancer utilizing active infrared thermography
RF Soto, SE Godoy - Heliyon, 2024 - cell.com
Skin cancer is a growing global concern, with cases steadily rising. Typically, malignant
moles are identified through visual inspection, using dermatoscopy and patient history …
moles are identified through visual inspection, using dermatoscopy and patient history …
Survey on Computational Techniques for Pigmented Skin Lesion Segmentation
S Khanra, M Kuila, S Patra, R Saha… - Optical Memory and Neural …, 2022 - Springer
Skin lesion segmentation is the first step in skin lesion assessment, and it can help with the
following classification task. It is a complex job because the borders of pigment regions may …
following classification task. It is a complex job because the borders of pigment regions may …
[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 for skin lesion segmentation
Z MiriKharaji - 2022 - summit.sfu.ca
Skin cancer is a major public health problem requiring computer aided diagnosis to reduce
the burden of disease's high incidence ratio and the associated expenses by assisting …
the burden of disease's high incidence ratio and the associated expenses by assisting …
Skin lesion region segmentation model based on improved U2Net
B Huang, C Fang - Proceedings of the 2023 4th International …, 2023 - dl.acm.org
Skin cancer is one of the most common malignant tumors. In order to completely remove
tumors and accurately identify and segment lesion areas, this paper proposes a skin lesion …
tumors and accurately identify and segment lesion areas, this paper proposes a skin lesion …