Search Results - "COMPUTER-aided diagnosis"

AI-Powered Radiomics for Breast Cancer Prognosis and Aggressiveness Assessment via Ultrasound Imaging

Authors: Issam Ismail Zaidkilani, Nadeem

Thesis Advisors: García García, Miguel Angel, Puig Valls, Domènec Savi

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Càncer de Mama - Imatges per Ultrasò, Anàlisi d'Imatges Mèdiques, Diagnòstic Assistit per Ordinador (CAD), Cáncer de Mama - Imágenes por Ultrasonido, Análisis de Imágenes Médicas, Diagnóstico Asistido por Computadora (CAD), Breast Cancer-Ultrasound, Medical Image Analysis, Computer-Aided Diagnosis (CAD), Ciències

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695647

A Multi-Organ and Multi-Modal Data-Driven Analysis of Metabolic Patterns in Type 2 Diabetes. Unravelling the Pathologic Mechanisms Between Organs: The Impact of Tissue-Specific Insulin Resistance.

Authors: Martín-Saladich, Queralt

Thesis Advisors: Herance Camacho, José Raúl, González Ballester, Miguel Ángel

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Diabetis tipus 2, Type 2 diabetes, Diabetes tipo 2, Imatge [18F]FDG-PET/CT, [18F]FDG-PET/CT scan, Imagen [18F]FDG-PET/CT, Insulino-resistència, Insulin resistance, Insulino-resistencia, Eix fetge-cor-cervell, Liver-heart-brain axis, Eje hígado-corazón-cerebro, Diagnòstic assistit, Computer-aided diagnosis, Diagnóstico asistido, Machine learning, Selecció de paràmetres, Feature selection, Selección de parámetros, Quantificació, Quantification, Cuantificación, Segmentació, Segmentation, Segmentación

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695511

DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification

Authors: Wakili, Musa Adamu Shehu, Harisu Abdullahi Abdollahi, Mahdi et al.

Source: IEEE Access. 13:145828-145848

Subject Terms: Breast Cancer, Deep Learning, Densenet, Feature Selection, Flower Pollination Algorithm, Histopathology, Image Classification, Classification (of Information), Computer Aided Diagnosis, Diseases, Image Enhancement, Lung Cancer, Medical Imaging, Patient Treatment, Breast Cancer Diagnosis, Convolutional Networks, Dense Convolutional Network, Features Selection, Histopathological Image Analysis, Images Classification

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28576
https://doi.org/10.1109/ACCESS.2025.3599319

Segmentation of lungs with juxta-pleura nodules at the lung borders and mediastinum in CT scan.

Authors: Bola, Sasidhar Munirathnam, Mahendra Anusha, Ravankol et al.

Source: AIP Conference Proceedings. 2025, Vol. 3361 Issue 1, p1-6. 6p.

Subject Terms: *LUNG cancer, *COMPUTER-aided diagnosis, *IMAGE segmentation, *MORPHOLOGY, *COMPUTED tomography, *CURVATURE, *COMPUTER-aided design software, *PULMONARY nodules

Ensemble learning for enhanced brain tumor diagnosis: A new approach for early detection.

Authors: Othman, Nayla Faiq Kareem, Shahab Wahhab

Source: International Journal of Systematic Innovation. 2025, Vol. 9 Issue 3, p109-123. 15p.

Subject Terms: CONVOLUTIONAL neural networks, COMPUTER-aided diagnosis, CANCER diagnosis, ENSEMBLE learning, MAGNETIC resonance imaging, DEEP learning

HADCN: a hierarchical ascending densely connected network for enhanced medical image segmentation.

Authors: Zhou, Dibin Zhao, Mingxuan Liu, Wenhao et al.

Source: Medical & Biological Engineering & Computing. Sep2025, Vol. 63 Issue 9, p2585-2600. 16p.

Subject Terms: *ARTIFICIAL neural networks, COMPUTER-aided diagnosis, COMPUTER-assisted image analysis (Medicine), STATISTICAL models, FEATURE extraction

Personalized Human–Computer Collaboration Decision Making for Enhancing Breast Cancer Diagnosis.

Authors: Fu, Chao Cui, Kaixuan Xue, Min

Source: International Journal of Human-Computer Interaction. Jul2025, p1-26. 26p. 5 Illustrations.

Subject Terms: *HUMAN-computer interaction, *DECISION making, CANCER diagnosis, COMPUTER-aided diagnosis, ULTRASONIC imaging, RADIOLOGISTS, DETECTION algorithms

Neutrosophic-Based Feature Set (NBFS) For Brain Tumor Detection Using GLCM Features and KNN Classifier On Mri Images.

Authors: Gowri, S. Vijayalakshmi, V. M.

Source: Neutrosophic Sets & Systems. 2025, Vol. 94, p211-231. 21p.

Subject Terms: *MAGNETIC resonance imaging, *COMPUTER-aided diagnosis, *FUZZY logic, *TEXTURE analysis (Image processing), *K-nearest neighbor classification, *IMAGE processing, *CANCER diagnosis

Computer‐Aided Diagnosis of Colorectal Polyps: Clinical Usefulness and Limitations.

Authors: Lin, Kenneth Weicong Fock, Kwong Ming Li, James Weiquan

Source: Digestive Endoscopy. Nov2025, p1. 8p.

Subject Terms: *COMPUTER-aided diagnosis, *COLON polyps, *HUMAN-artificial intelligence interaction, *COST effectiveness, *DIAGNOSTIC services, *ENDOSCOPY

MV3Lung-NS: A Neutrosophic-Deep Learning Hybrid Framework for Computer-Aided Diagnosis of Chest X-Ray Scans.

Authors: Abdelrhman, Abdelrhman Fathy Abas, Ahmed R.

Source: Neutrosophic Sets & Systems. 2025, Vol. 86, p852-885. 34p.

Subject Terms: *COMPUTER-aided diagnosis, *ARTIFICIAL intelligence, *DATA augmentation, *RADIOSCOPIC diagnosis, *DEEP learning

Evaluation efficacy and accuracy of a real-time computer-aided polyp detection system during colonoscopy: a prospective, multicentric, randomized, parallel-controlled study trial.

Authors: Xu, Xin Ba, Ling Lin, Lin et al.

Source: Surgical Endoscopy & Other Interventional Techniques. Nov2025, Vol. 39 Issue 11, p7417-7427. 11p.

Subject Terms: *COLONOSCOPY, *COMPUTER-aided diagnosis, *COLORECTAL cancer, *ADENOMA, *SENSITIVITY & specificity (Statistics), *RANDOMIZED controlled trials

YOLOv11-MFF: A multi-scale frequency-adaptive fusion network for enhanced CXR anomaly detection.

Authors: Guan, Li Zhang, Ruting Zhao, Yi

Source: PLoS ONE. 10/24/2025, Vol. 20 Issue 10, p1-29. 29p.

Subject Terms: *CHEST X rays, *COMPUTER-aided diagnosis, *CONVOLUTIONAL neural networks, *DEEP learning, *RESPIRATORY diseases

High-speed photoacoustic and ultrasonic computed tomography of the breast tumor for early diagnosis with enhanced accuracy.

Authors: Huang, Keer Peifen Fu Hengyue Zhu et al.

Source: Science Advances. 10/10/2025, Vol. 11 Issue 41, p1-15. 15p.

Subject Terms: *COMPUTER-aided diagnosis, *COMPUTED tomography, *IMAGING systems, *TUMOR diagnosis, *BREAST tumors

A SYMMETRIC THREE-DIMENSIONAL ConvNeXt NETWORK FOR LUNG NODULE SEGMENTATION IN CT IMAGES.

Authors: GUO, SHENGJUAN TAO, GUOWEI LIU, FENG et al.

Source: Journal of Mechanics in Medicine & Biology. Oct2025, Vol. 25 Issue 8, p1-13. 13p.

Subject Terms: *COMPUTER-aided diagnosis, *PULMONARY nodules, *IMAGE analysis, *COMPUTED tomography, *IMAGE segmentation, *LUNGS

Prospective Comparison of Pathology and Computer-Aided Optical Diagnosis for Polyp Characterization Using Expert Consensus.

Authors: Huang, Felix Dimbu, Thea Iulia Rex, Douglas K. et al.

Source: Digestive Diseases & Sciences. Oct2025, Vol. 70 Issue 10, p3517-3524. 8p.

Subject Terms: *COMPUTER-aided diagnosis, *COLON polyps, *DIAGNOSTIC errors, *IMAGE processing, *ARTIFICIAL intelligence

External Validation on a Japanese Cohort of a Computer‐Aided Diagnosis System Aimed at Characterizing ISUP ≥ 2 Prostate Cancers at Multiparametric MRI.

Authors: Escande, Raphael Jaouen, Tristan Gonindard‐Melodelima, Christelle et al.

Source: International Journal of Urology. Oct2025, Vol. 32 Issue 10, p1440-1448. 9p.

Subject Terms: *PROSTATE cancer, *COMPUTER-aided diagnosis, *SENSITIVITY & specificity (Statistics), *MODEL validation, *COMPUTER-assisted image analysis (Medicine), *DIAGNOSIS, *JAPANESE people

Multimodal and multi-time-point fusion approach for automated diagnosis and grading of carotid atherosclerosis using bilateral ultrasound images and metadata.

Authors: Fang, Pinqi Lang, Dong Cheng, Di et al.

Source: Visual Computer. Oct2025, Vol. 41 Issue 13, p11445-11462. 18p.

Subject Terms: *CAROTID artery diseases, *COMPUTER-aided diagnosis, *MULTISENSOR data fusion, *METADATA, *ARTIFICIAL neural networks, *TRANSFORMER models, *ULTRASONIC imaging

Images Versus Videos in Contrast-Enhanced Ultrasound for Computer-Aided Diagnosis.

Authors: Mercioni, Marina Adriana Căleanu, Cătălin Daniel Ursan, Mihai-Eronim-Octavian

Source: Sensors (14248220). Oct2025, Vol. 25 Issue 19, p6247. 23p.

Subject Terms: *CONTRAST-enhanced ultrasound, *COMPUTER-aided diagnosis, *TRANSFORMER models, *MACHINE learning, *DEEP learning, *LIVER tumors

DF-ResTransUNet: Dual-Stream Feature Fusion Residual TransUNet for Polyp Segmentation.

Authors: Wang, Wei^1,2 (AUTHOR) wangwei@ycit.edu.cn

Source: Journal of Circuits, Systems & Computers. 10/1/2025, Vol. 34 Issue 15, p1-22. 22p.

Subject Terms: *COMPUTER-aided diagnosis, *TRANSFORMER models, *POLYPS, *LEARNING ability, *PHYSICIANS

Double attention Res-U-Net-based Deep Neural Network Model for Automatic Detection of Tuberculosis in Human Lungs.

Authors: Balamurugan, M. Balamurugan, R.

Source: International Journal of Image & Graphics. Jan2026, Vol. 26 Issue 1, p1-28. 28p.

Subject Terms: *TUBERCULOSIS, *COMPUTER-aided diagnosis, *CHEST X rays, *ARTIFICIAL neural networks, *MACHINE learning, *METAHEURISTIC algorithms, *COMPUTER-assisted image analysis (Medicine), *IMAGE processing