Cancer diagnosis using deep learning: a bibliographic review

K Munir, H Elahi, A Ayub, F Frezza, A Rizzi - Cancers, 2019 - mdpi.com
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …

Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

S Pathan, KG Prabhu, PC Siddalingaswamy - … Signal Processing and …, 2018 - Elsevier
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …

Deep learning for image-based cancer detection and diagnosis− A survey

Z Hu, J Tang, Z Wang, K Zhang, L Zhang, Q Sun - Pattern Recognition, 2018 - Elsevier
In this paper, we aim to provide a survey on the applications of deep learning for cancer
detection and diagnosis and hope to provide an overview of the progress in this field. In the …

Automatic skin cancer detection in dermoscopy images based on ensemble lightweight deep learning network

L Wei, K Ding, H Hu - IEEE Access, 2020 - ieeexplore.ieee.org
The complex detection background and lesion features make the automatic detection of
dermoscopy image lesions face many challenges. The previous solutions mainly focus on …

A survey of feature extraction in dermoscopy image analysis of skin cancer

C Barata, ME Celebi, JS Marques - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …

Computer-aided diagnosis of skin cancer: a review

N Razmjooy, M Ashourian, M Karimifard… - Current medical …, 2020 - ingentaconnect.com
Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …

Convolution neural networks for diagnosing colon and lung cancer histopathological images

S Mangal, A Chaurasia, A Khajanchi - arXiv preprint arXiv:2009.03878, 2020 - arxiv.org
Lung and Colon cancer are one of the leading causes of mortality and morbidity in adults.
Histopathological diagnosis is one of the key components to discern cancer type. The aim of …

A comparative study of features selection for skin lesion detection from dermoscopic images

R Javed, MSM Rahim, T Saba, A Rehman - Network Modeling Analysis in …, 2020 - Springer
Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …

Improving dermoscopy image classification using color constancy

C Barata, ME Celebi, JS Marques - IEEE journal of biomedical …, 2014 - ieeexplore.ieee.org
Robustness is one of the most important characteristics of computer-aided diagnosis
systems designed for dermoscopy images. However, it is difficult to ensure this characteristic …

An effective hashing method using W-Shaped contrastive loss for imbalanced datasets

F Alenezi, Ş Öztürk, A Armghan, K Polat - Expert Systems with Applications, 2022 - Elsevier
The extraction of informative features from medical images and the retrieving of similar
images from data repositories is vital for clinical decision support systems. Unlike general …