Skin lesion segmentation based on integrating efficientnet and residual block into u-net neural network
DK Nguyen, TT Tran, CP Nguyen… - 2020 5th International …, 2020 - ieeexplore.ieee.org
Skin lesion segmentation is an important step in computer aided diagnosis for automated
melanoma diagnosis. However, in the field of medical images analysis, skin lesion …
melanoma diagnosis. However, in the field of medical images analysis, skin lesion …
Skin lesion segmentation based on improved u-net
Melanoma is one of the most common and dangerous skin cancers, accounting for 75% of
deaths associated with skin cancer. Detection of melanoma in early stages can significantly …
deaths associated with skin cancer. Detection of melanoma in early stages can significantly …
Skin lesion segmentation by u-net with adaptive skip connection and structural awareness
Skin lesion segmentation is one of the pivotal stages in the diagnosis of melanoma. Many
methods have been proposed but, to date, this is still a challenging task. Variations in size …
methods have been proposed but, to date, this is still a challenging task. Variations in size …
An improved and robust encoder–decoder for skin lesion segmentation
Automatic segmentation of skin lesions is an important step in computer-aided diagnosis
systems for melanoma detection. Although numerous methods have been proposed in the …
systems for melanoma detection. Although numerous methods have been proposed in the …
[HTML][HTML] An automatic skin lesion segmentation system with hybrid FCN-ResAlexNet
S Barın, GE Güraksın - … Science and Technology, an International Journal, 2022 - Elsevier
Skin cancer is a serious global health concern with high morbidity and mortality rates.
Therefore, computer-aided automatic diagnostic systems are essential to diagnose skin …
Therefore, computer-aided automatic diagnostic systems are essential to diagnose skin …
DE-Net: A deep edge network with boundary information for automatic skin lesion segmentation
R Gu, L Wang, L Zhang - Neurocomputing, 2022 - Elsevier
Automatic skin lesion segmentation is one of the most important tasks for computer-aided
diagnosis of skin cancer. Although many deep learning-based methods have been …
diagnosis of skin cancer. Although many deep learning-based methods have been …
[PDF][PDF] A convolutional neural network for skin lesion segmentation using double u-net architecture
Skin lesion segmentation plays a critical role in the precise and early detection of skin
cancer via recent frameworks. The prerequisite for any computer-aided skin cancer …
cancer via recent frameworks. The prerequisite for any computer-aided skin cancer …
Skin lesion segmentation in dermoscopic images with ensemble deep learning methods
Early detection of skin cancer, particularly melanoma, is crucial to enable advanced
treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of …
treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of …
ASCU-Net: attention gate, spatial and channel attention u-net for skin lesion segmentation
X Tong, J Wei, B Sun, S Su, Z Zuo, P Wu - Diagnostics, 2021 - mdpi.com
Segmentation of skin lesions is a challenging task because of the wide range of skin lesion
shapes, sizes, colors, and texture types. In the past few years, deep learning networks such …
shapes, sizes, colors, and texture types. In the past few years, deep learning networks such …
Skin lesion segmentation by using deep learning techniques
Skin cancer is a common disease among middle-aged and elderly white-skinned people. It
is divided into many types in terms of medical criteria. Malign melanoma is one of the most …
is divided into many types in terms of medical criteria. Malign melanoma is one of the most …