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] 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 …
[HTML][HTML] Deep learning in dermatology: a systematic review of current approaches, outcomes, and limitations
Artificial intelligence (AI) has recently made great advances in image classification and
malignancy prediction in the field of dermatology. However, understanding the applicability …
malignancy prediction in the field of dermatology. However, understanding the applicability …
Artificial intelligence applications in dermatology: where do we stand?
A Gomolin, E Netchiporouk, R Gniadecki… - Frontiers in …, 2020 - frontiersin.org
Artificial intelligence (AI) has become a progressively prevalent Research Topic in medicine
and is increasingly being applied to dermatology. There is a need to understand this …
and is increasingly being applied to dermatology. There is a need to understand this …
Systematic review of machine learning for diagnosis and prognosis in dermatology
K Thomsen, L Iversen, TL Titlestad… - Journal of …, 2020 - Taylor & Francis
Background: Software systems using artificial intelligence for medical purposes have been
developed in recent years. The success of deep neural networks (DNN) in 2012 in the …
developed in recent years. The success of deep neural networks (DNN) in 2012 in the …
Transform domain representation-driven convolutional neural networks for skin lesion segmentation
MP Pour, H Seker - Expert Systems with Applications, 2020 - Elsevier
Automated diagnosis systems provide a huge improvement in early detection of skin cancer,
and consequently, contribute to successful treatment. Recent research on convolutional …
and consequently, contribute to successful treatment. Recent research on convolutional …
MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data …
Interpretation of medical images with a computer-aided diagnosis (CAD) system is arduous
because of the complex structure of cancerous lesions in different imaging modalities, high …
because of the complex structure of cancerous lesions in different imaging modalities, high …
DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images
Accurate segmentation of the pneumothorax from chest X-ray images is of considerable
significance for the diagnosis in the emergency department. Recently, deep learning …
significance for the diagnosis in the emergency department. Recently, deep learning …
Applications of deep learning in healthcare and biomedicine
The increasing advancements and improvements in medicine and healthcare in the past few
decades have ushered us into a data-driven era where a huge amount of data is collected …
decades have ushered us into a data-driven era where a huge amount of data is collected …
the emerging role of artificial intelligence in dermatology
F Mahmood, S Bendayan, FM Ghazawi… - Frontiers in …, 2021 - frontiersin.org
The use of artificial intelligence (AI) in dermatology is an emerging area of interest with
several applications highlighted in the special topic, including the differentiation of benign …
several applications highlighted in the special topic, including the differentiation of benign …