Skin lesion segmentation using U-Net and good training strategies
F Guth, TE deCampos - arXiv preprint arXiv:1811.11314, 2018 - arxiv.org
In this paper we approach the problem of skin lesion segmentation using a convolutional
neural network based on the U-Net architecture. We present a set of training strategies that …
neural network based on the U-Net architecture. We present a set of training strategies that …
[PDF][PDF] Automatic skin lesion segmentation using deep fully convolutional networks
arXiv:1807.06466v1 [cs.CV] 17 Jul 2018 Page 1 arXiv:1807.06466v1 [cs.CV] 17 Jul 2018
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks Hongming Xu …
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks Hongming Xu …
Automatic segmentation of skin lesions using deep learning
JP Ebenezer, JC Rajapakse - arXiv preprint arXiv:1807.04893, 2018 - arxiv.org
This paper summarizes the method used in our submission to Task 1 of the International
Skin Imaging Collaboration's (ISIC) Skin Lesion Analysis Towards Melanoma Detection …
Skin Imaging Collaboration's (ISIC) Skin Lesion Analysis Towards Melanoma Detection …
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 …
[PDF][PDF] Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
Y Yuan - arXiv preprint arXiv:1703.05165, 2017 - arxiv.org
arXiv:1703.05165v2 [cs.CV] 28 Sep 2017 Page 1 arXiv:1703.05165v2 [cs.CV] 28 Sep 2017
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks Yading …
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks Yading …
[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 …
A brief analysis of u-net and mask r-cnn for skin lesion segmentation
E Alfaro, XB Fonseca, EM Albornoz… - … Work Conference on …, 2019 - ieeexplore.ieee.org
A brief analysis on the use of two deep neural architectures, the U-Net and Mask R-CNN for
the segmentation of skin lesions in dermoscopic images is presented. The two systems were …
the segmentation of skin lesions in dermoscopic images is presented. The two systems were …
Skin lesion segmentation with C-UNet
Malignant melanoma is one of the leading cancers around the world. It is critical to timely
diagnose and treat melanoma to improve patient survival. This paper proposes a deep …
diagnose and treat melanoma to improve patient survival. This paper proposes a deep …
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 …
Skin lesion segmentation based on integrating efficientnet and residual block into u-net neural network
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 …