This work screened 1,915 CT scans from three TCGA-RCC databases and, following a meta-data-based exclusion step, used an automated segmentation model to generate initial kidney and lesion masks, which are openly available at https://zenodo.org/records/20719257 .
Contrast-enhanced computed tomography (CT) is central to the diagnosis, staging, and follow-up of patients with renal cell carcinoma (RCC). As artificial intelligence research into computer-aided solutions continues to grow, the need for curated and annotated datasets becomes increasingly important. Imaging-based artif...
Sarah de Boer, H. Häntze, S. Ziegelmayer et al.· Machine Learning for Biomedi...· 1 citation
Large-scale public medical imaging datasets contribute critically to translational research. When accompanied by rich clinical and multi-omics data, they can stimulate exploratory research and enable secondary analyses. Expert annotations of such imaging collections can support the development of new image analysis too...
Deepa Krishnaswamy, V. Thiriveedhi, S. Pai et al.· 0 citations
In the healthcare industry, Renal Cell carcinoma (RCC) is the most common form of kidney cancer, and it is heterogeneous with intrinsic histopathological features. Moreover, grading RCC from the histopathology slides is essential for prognosis and determination of treatment strategy, but manual grading is labor intensi...
Y. Harinath, A. Sureshbabu· Discover Computing· 0 citations
Artificial-intelligence (AI) research on lung cancer in 2026 shows rapid growth across lightweight convolutional networks, CNN–transformer hybrids, capsule-inspired models, segmentation-driven pipelines, radiomics, multimodal fusion and reader-assistance systems. Model selection is now more than accuracy maximisation:...
A. Sirajdeen, S. Rajakumaran· Scholar Journal of Commerce...· 0 citations
The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) detection a global health challenge. Although noncontrast computed tomography (NC CT) is widely accessible, the esophagus is a hollow tubular structure prone to collapse and motion artifacts, making small early malignant l...
Jian Zhou, Guangyu Guo, Jia-Wen Yao et al.· Nature Medicine· 0 citations
The proposed framework effectively incorporated MedSAM-based tumor segmentation, radiomic feature analysis, and deep feature representation and sequential dependency modeling all in a single diagnostic workflow for lung cancer evaluation and diagnosis.
Mohammad Shorfuzzaman, Abdullah Iftikhar, Shaheryar Najam et al.· Diagnostics· 0 citations
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