Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
D Painuli, S Bhardwaj - Computers in Biology and Medicine, 2022 - Elsevier
Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …
disease for human beings, where advance stage diagnosis may not help much in …
[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
T Saba - Journal of infection and public health, 2020 - Elsevier
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
Detection of skin cancer based on skin lesion images using deep learning
An increasing number of genetic and metabolic anomalies have been determined to lead to
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
Melanoma classification using a novel deep convolutional neural network with dermoscopic images
Automatic melanoma detection from dermoscopic skin samples is a very challenging task.
However, using a deep learning approach as a machine vision tool can overcome some …
However, using a deep learning approach as a machine vision tool can overcome some …
Fast camouflaged object detection via edge-based reversible re-calibration network
Abstract Camouflaged Object Detection (COD) aims to detect objects with similar patterns
(eg, texture, intensity, colour, etc) to their surroundings, and recently has attracted growing …
(eg, texture, intensity, colour, etc) to their surroundings, and recently has attracted growing …
Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization
Manual diagnosis of skin cancer is time-consuming and expensive; therefore, it is essential
to develop automated diagnostics methods with the ability to classify multiclass skin lesions …
to develop automated diagnostics methods with the ability to classify multiclass skin lesions …
Skin lesions classification into eight classes for ISIC 2019 using deep convolutional neural network and transfer learning
MA Kassem, KM Hosny, MM Fouad - IEEE Access, 2020 - ieeexplore.ieee.org
Melanoma is a type of skin cancer with a high mortality rate. The different types of skin
lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of …
lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of …
Classification of skin lesions using transfer learning and augmentation with Alex-net
KM Hosny, MA Kassem, MM Foaud - PloS one, 2019 - journals.plos.org
Skin cancer is one of most deadly diseases in humans. According to the high similarity
between melanoma and nevus lesions, physicians take much more time to investigate these …
between melanoma and nevus lesions, physicians take much more time to investigate these …
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features
Melanoma is the fastest growing and most lethal cancer among all forms of skin cancer.
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …