Results 191 to 200 of about 52,953 (291)

Multimodal radiomics based on dynamic contrast-enhanced ultrasound for predicting cervical lymph node metastasis in papillary thyroid carcinoma with Hashimoto's thyroiditis. [PDF]

Front Oncol
Zhang K, Zhao D, Wang G, Gu Y, Wu X, Dong F.   +5 more
europepmc   +1 more source

LDS‐UNet: Lightweight Depthwise Separable U‐Net for Brain Tumor Segmentation

Applied AI Letters, Volume 8, Issue 1, February 2027.
A hybrid Lightweight Depthwise Separable U‐Net (LDS‐UNet) is proposed, using depthwise separable convolutions in the encoder‐decoder, and standard bottleneck convolutions, and 2.5D three‐slice input to recover inter‐slice context without 3D convolutions.
Nasrin Akter, Rafia Nasrin Muntaha, Puja Dutta, Md. Khaliluzzaman   +3 more
wiley   +1 more source

Comparison of Relapse Risk Prediction Models During Active Surveillance in Stage I Seminoma: A Retrospective Multicenter Cohort Study

International Journal of Cancer, Volume 159, Issue 12, Page 3008-3015, 15 December 2026.
ABSTRACT To improve the prediction of relapse for clinical stage I seminoma, we aimed to validate the Boormans model (incorporating tumor size, rete testis invasion, and lymphovascular invasion) against the conventional classification (tumor size > 4 cm/rete testis invasion).
Andreas Banner, Eveline Daetwyler, Stefanie Fischer, Stephanie Schöpfer‐Schwab, Karl Pemberger, Michael Scholz, Kathrin Olesch, David Oswald, Angelina Strauch, Tim Nestler, Lukas Koren‐Wagner, Robin Zeder, Clemens Mikulits, Sebastian Lenart, Christoph Seidel, Angelika Terbuch   +15 more
wiley   +1 more source

Lobar analysis of classical and deep learning radiomic features in chronic airflow limitation. [PDF]

BMC Med Imaging
Bäcklin E, Janerot-Sjoberg B, Smedby Ö, Sköld M, Breznik E.   +4 more
europepmc   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Radiomics-Based Outcome Prediction in Transarterial Radioembolization (TARE) of Hepatic Malignancies: A Systematic Review and Quality Appraisal. [PDF]

Diagnostics (Basel)
Grainger RT, Temperley HC, Saadeh OA, O'Sullivan NJ, Mac Curtain BM, Sheahan KP, Brennan I, Ng ZQ, Mitchell T, Kelly ME, Soares J, Yarmohammadi H.   +11 more
europepmc   +1 more source

Artificial intelligence demonstrates comparable diagnostic accuracy to radiologists for anterior cruciate ligament tears on MRI: A systematic review and meta‐analysis

Knee Surgery, Sports Traumatology, Arthroscopy, Volume 34, Issue 10, Page 3816-3828, October 2026.
Abstract Purpose Anterior cruciate ligament (ACL) tears are among the most common knee injuries, accounting for half of all knee ligament injuries. Magnetic resonance imaging (MRI) is the standard for diagnosing ACL tears, but its interpretation is experience‐dependent.
Gabriel Moraes de Oliveira, Serafina Zotter, Brian Tao, Ana Beatriz Nardelli da Silva, Maria Mascarenhas, Chilan B. G. Leite, Guilherme Almeida, Nacime Mansur, Giovanna Medina   +8 more
wiley   +1 more source

Machine Learning of Echocardiographic Left Ventricular Myocardial Radiomics for Identification of Transthyretin Amyloid Cardiomyopathy. [PDF]

JACC Adv
Elzieny AA, Alreshq R, Ullah I, Fine D, Teruya S, Helmke S, Gallegos C, Miller EJ, Slivnick JA, Maurer MS, Li B, Ruberg FL.   +11 more
europepmc   +1 more source

Cross‐Modal Artificial Intelligence Integrating Dynamic MRI and Clinical Data for Breast Cancer Diagnosis and Nodal Metastasis Prediction

MedComm – Oncology, Volume 5, Issue 4, December 2026.
A multicenter artificial intelligence framework was developed and externally validated for breast lesion classification and axillary lymph node metastasis prediction. Using dynamic contrast‐enhanced MRI alone for lesion classification and integrating MRI with preoperative clinical and biopsy‐derived information for nodal prediction, the framework ...
Wei Ren, Zifan He, Zhixian Deng, Zhenjun Huang, Gengxi Cai, Xiaohua Ban, Qiugen Hu, Zebang Zhang, Luhui Mao, Yujie Tan, Qing Peng, Zehua Wang, Ruichong Lin, Xian Yang, Xiaohui Duan, Herui Yao, Yunfang Yu   +16 more
wiley   +1 more source

Prediction Models for Pathological Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: A Systematic Review and Meta-Analysis. [PDF]

Cancers (Basel)
Luo Y, Ding Y, Liu W, Liu M, Zhao Q, Ouyang M, Guo Y.   +6 more
europepmc   +1 more source