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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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 …
globally, emphasizing the critical need for early diagnosis resulting improvement in survival …