A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
H Jiang, Z Diao, T Shi, Y Zhou, F Wang, W Hu… - Computers in Biology …, 2023 - Elsevier
Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …
processing with the advancement of deep learning in natural image classification, detection …
[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 …
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification
Skin cancer is one of the most widespread threats to human health worldwide. Therefore,
early-stage recognition and detection of these diseases are crucial for patients' lives …
early-stage recognition and detection of these diseases are crucial for patients' lives …
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: A framework of improved DenseNet77 and UNET convolutional neural network
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …
advanced stage. Extensive work has been presented by the researcher on computer vision …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images
This paper developed a novel melanoma diagnosis model from dermoscopy images using a
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …
DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification
M Zafar, J Amin, M Sharif, MA Anjum, GA Mallah… - Mathematics, 2023 - mdpi.com
The development of abnormal cell growth is caused by different pathological alterations and
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
A novel nonlinear automated multi-class skin lesion detection system using soft-attention based convolutional neural networks
Skin cancer is one of the most common cancer types that negatively affect human life
worldwide and can result in death. So early diagnosis is essential for patient treatment …
worldwide and can result in death. So early diagnosis is essential for patient treatment …
SkinNet‐ENDO: Multiclass skin lesion recognition using deep neural network and Entropy‐Normal distribution optimization algorithm with ELM
The early diagnosis of skin cancer through clinical methods reduces the human mortality
rate. The manual screening of dermoscopic images is not an efficient procedure; therefore …
rate. The manual screening of dermoscopic images is not an efficient procedure; therefore …