Skin lesion segmentation ensemble with diverse training strategies
This paper presents a novel strategy to perform skin lesion segmentation from dermoscopic
images. We design an effective segmentation pipeline, and explore several pre-training …
images. We design an effective segmentation pipeline, and explore several pre-training …
Improving accuracy of convolutional neural network-based skin lesion segmentation using group normalization and combined loss function
In this paper, we present an improved method based on deep learning architecture for skin
lesion segmentation. The major novel contribution of the proposed method includes …
lesion segmentation. The major novel contribution of the proposed method includes …
DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation
S Baghersalimi, B Bozorgtabar… - EURASIP Journal on …, 2019 - Springer
Recent state-of-the-art methods for skin lesion segmentation are based on convolutional
neural networks (CNNs). Even though these CNN-based segmentation approaches are …
neural networks (CNNs). Even though these CNN-based segmentation approaches are …
Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance
Y Yuan, M Chao, YC Lo - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
Automatic skin lesion segmentation in dermoscopic images is a challenging task due to the
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
Dermoscopic image segmentation via multistage fully convolutional networks
Objective: Segmentation of skin lesions is an important step in the automated computer
aided diagnosis of melanoma. However, existing segmentation methods have a tendency to …
aided diagnosis of melanoma. However, existing segmentation methods have a tendency to …
Generative adversarial networks to segment skin lesions
S Izadi, Z Mirikharaji, J Kawahara… - 2018 IEEE 15Th …, 2018 - ieeexplore.ieee.org
The accuracy of skin lesion segmentation has increased in recent years, thanks to advances
in machine learning techniques and a large influx of dermoscopy images. However, there is …
in machine learning techniques and a large influx of dermoscopy images. However, there is …
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 in dermoscopic images with noisy data
N Lama, J Hagerty, A Nambisan, RJ Stanley… - Journal of Digital …, 2023 - Springer
We propose a deep learning approach to segment the skin lesion in dermoscopic images.
The proposed network architecture uses a pretrained EfficientNet model in the encoder and …
The proposed network architecture uses a pretrained EfficientNet model in the encoder and …
Skin lesion segmentation using high-resolution convolutional neural network
F Xie, J Yang, J Liu, Z Jiang, Y Zheng… - Computer methods and …, 2020 - Elsevier
Abstract Background and Objective Skin lesion segmentation is an important but
challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation …
challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation …
Multi-scale fully convolutional DenseNets for automated skin lesion segmentation in dermoscopy images
This paper addresses the problem of automated skin lesion segmentation in dermoscopy
images. We propose a novel Multi-Scale Fully Convolutional DenseNets (MSFCDN) for skin …
images. We propose a novel Multi-Scale Fully Convolutional DenseNets (MSFCDN) for skin …