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 …

Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review

KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …

Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture

LP Joseph, EA Joseph, R Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Diabetes is a deadly chronic disease that occurs when the pancreas is not able to produce
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

M Abdar, MA Fahami, S Chakrabarti, A Khosravi… - Information …, 2021 - Elsevier
Automatic medical image analysis (eg, medical image classification) is widely used in the
early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable …

ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions

A Lucieri, MN Bajwa, SA Braun, MI Malik… - Computer Methods and …, 2022 - Elsevier
Background and objectives: One principal impediment in the successful deployment of
Artificial Intelligence (AI) based Computer-Aided Diagnosis (CAD) systems in everyday …

CerCan· Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning

O Attallah - Expert Systems with Applications, 2023 - Elsevier
Cervical cancer ranks among the most prevalent causes of fatality in women around the
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …

Diagnosis of retinal diseases based on Bayesian optimization deep learning network using optical coherence tomography images

M Subramanian, MS Kumar… - Computational …, 2022 - Wiley Online Library
Retinal abnormalities have emerged as a serious public health concern in recent years and
can manifest gradually and without warning. These diseases can affect any part of the retina …

Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images

PD Barua, WY Chan, S Dogan, M Baygin, T Tuncer… - Entropy, 2021 - mdpi.com
Optical coherence tomography (OCT) images coupled with many learning techniques have
been developed to diagnose retinal disorders. This work aims to develop a novel framework …

Classification of retinal diseases in optical coherence tomography images using artificial intelligence and firefly algorithm

MB Özdaş, F Uysal, F Hardalaç - Diagnostics, 2023 - mdpi.com
In recent years, the number of studies for the automatic diagnosis of biomedical diseases
has increased. Many of these studies have used Deep Learning, which gives extremely …

A deep learning-based framework for retinal disease classification

A Choudhary, S Ahlawat, S Urooj, N Pathak… - Healthcare, 2023 - mdpi.com
This study addresses the problem of the automatic detection of disease states of the retina.
In order to solve the abovementioned problem, this study develops an artificially intelligent …