Medical image identification methods: a review

J Li, P Jiang, Q An, GG Wang, HF Kong - Computers in Biology and …, 2023 - Elsevier
The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

CCGL-YOLOV5: A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model

T Zhou, F Liu, X Ye, H Wang, H Lu - Computers in biology and medicine, 2023 - Elsevier
Background Multimodal medical image detection is a key technology in medical image
analysis, which plays an important role in tumor diagnosis. There are different sizes lesions …

[HTML][HTML] MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans

S Majumder, N Gautam, A Basu, A Sau, ZW Geem… - Plos one, 2024 - journals.plos.org
Lung cancer is one of the leading causes of cancer-related deaths worldwide. To reduce the
mortality rate, early detection and proper treatment should be ensured. Computer-aided …

DPD-Net: Dual-path Proposal Discriminative Network for abnormal cell detection in cervical cytology images

S Chai, J Xin, J Wu, H Yu, Z Liang, Y Ma… - … Signal Processing and …, 2024 - Elsevier
Cytology inspection is a basic examination for the prevention of cervical cancer, which is still
done manually and is a labor-intensive and time-consuming process with high inter …

Auto-metric distribution propagation graph neural network with a meta-learning strategy for diagnosis of otosclerosis

J Wang, J Song, Z Wang, S Mao, M Kong, Y Mao… - Applied …, 2024 - Springer
Otosclerosis is a multifactorial bone disorder that affects the otic capsule; otosclerosis is a
significant cause of deafness in adults. Since the lesion areas are frequently subtle, the …

[HTML][HTML] Deep network-based method and software for small sample biomedical image generation and classification

OM Berezsky, PB Liashchynskyi, OY Pitsun… - Radio Electronics …, 2023 - ric.zntu.edu.ua
Context. The authors of the article investigated the problem of generating and classifying
breast cancer histological images. The widespread incidence of breast cancer explains the …

Overcoming the Small Dataset Challenge in Healthcare

D Pais, S Brás, R Sebastião - 2024 IEEE 22nd Mediterranean …, 2024 - ieeexplore.ieee.org
Obtaining large datasets for training and evaluating models remains a challenge in the
medical and healthcare fields due to patient privacy, organizational and legal constraints …

Auto-BCS: A Hybrid System for Real-Time Breast Cancer Screening from Pathological Images

Ekta, V Bhatia - Journal of Imaging Informatics in Medicine, 2024 - Springer
Breast cancer is recognized as a prominent cause of cancer-related mortality among women
globally, emphasizing the critical need for early diagnosis resulting improvement in survival …