Open-access, independent, minimum fee journal. Co-founded by @arbtal,@ja_schnabel,@mertrory,@wmwells3,@MarcNiethammer,@adriandalca
Joined January 2020
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🚨 New publication alert:
📢 ”PRECISE: Benchmarking digital pathology with expert-annotated contiguous IHC–H&E serial prostate sections.”
🖊️ A K Calapaquı́ Terán, A A González Bernad, M Cobo Cano, ..., R C Delgado Bolton, J M Calvo, J J Gómez Román, L L Iglesias.
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🎯 Authors introduce a prostate histopathology dataset with paired H&E and immunohistochemistry images and over 24,000 expert annotations across seven tissue classes, supporting segmentation and AI-assisted prostate cancer diagnosis.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”GIM-ENDO: A Multimodal Endoscopic Image and Video Dataset for Gastric Intestinal Metaplasia Morphology and Pathology.”
🖊️ M Forootan, M Setayeshfar, A Darvishi, M Tashakoripour, H Bolhasani.
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🎯 Authors introduce a public multimodal endoscopy dataset for gastric intestinal metaplasia detection, featuring images and videos from 24 patients, with histopathologically confirmed diagnoses and detailed clinical annotations.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”Scent of Health (S-OH): Olfactory Multivariate Time Series Dataset for Non-Invasive Disease Screening.”
🖊️ I Poddiakov, I Kruzhilov, G Zubkova, S Erofeeva, A Savchenko, P Blinov.
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🎯 Authors introduce a large-scale dataset of electronic nose recordings from 1,234 patients across nine diagnostic groups, supporting AI research in non-invasive breath-based disease screening, sensor drift, and cross-site generalization.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”TRACE: Tissue and Report Atlas of Computational Embeddings.”
🖊️ S Thakur, S Kachole, S Bakas.
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🎯 Authors a large-scale atlas of standardized pathology image and clinical report embeddings from TCGA and CPTAC, providing multi-scale, multi-model representations with metadata for reproducible computational pathology research.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”A multi-site loiasis dataset of whole blood videos.”
🖊️ L Djune-Yemeli, R Zoleko-Manego, C B Delahunt, D F Fankam, Y Y Nzeuhang, ..., E Spencer, D Banik, M D Keller, K N Fisher, D A Fletcher, I I Bogoch, A-L Le Ny, S Deda David, J Kamgno.
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🎯 Authors introduce the first large-scale dataset for AI-based detection of Loa loa parasites in blood, featuring over 33,000 microscopy videos from nearly 2,000 patients in Cameroon and Gabon.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”RCC-AID: Renal Cell Carcinoma AI Dataset for Medical Imaging Research.”
🖊️ S de Boer, H Häntze, S Ziegelmayer, T Russo, B van Ginneken, M Prokop, K Bressem, A Hering.
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🎯 Authors introduce a public dataset of 129 CT scans from 91 patients with renal cell carcinoma, featuring voxel-level annotations of kidneys, tumors, and cysts, supporting segmentation, detection, and classification tasks.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking.”
🖊️ A G Leclerq, N N Moreau, H Audebert, A Nassar, T Cochin, ..., J Lacroix, R Rouzier, A Corroyer-Dulmont
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🎯 Authors introduce a longitudinal multimodal MRI dataset of 264 glioblastoma patients, with tumor delineations completed across 97% of available timepoints, as well as treatment-response labels, brain masks, and radiomic features.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”A Histopathological Image Dataset for Oral Squamous Cell Carcinoma and Normal Tissue Analysis.”
🖊️ S Bahaa.
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🎯 Authors introduce an expert-labeled histopathology dataset for oral squamous cell carcinoma detection, with 1,714 images from 115 patients and paired low- and high-magnification images supporting multi-scale analysis.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”CT-Bench: A Comprehensive Benchmark for Multimodal AI in Computed Tomography Analysis.”
🖊️ Q Zhu, Q Jin, T S Mathai, Y Fang, …, P T S Balamuralikrishna, K C Wang, R M Summers, Z Lu.
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🎯 Authors introduce CT-Bench, a multimodal CT lesion resource and visual question answering benchmark with over 20,000 annotated lesions, supporting image–text alignment, localization, attributes, and lesion-level reasoning tasks.
🔎 Free to read: doi.org/10.59275/j.melba.202…
🚨 New publication alert:
📢 ”ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis.”
🖊️ T Ward, A Imran.
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🎯 Authors propose an approach combining anatomically adaptive brain representations with Kolmogorov–Arnold Networks to reduce atlas-related bias in functional connectivity analysis, improving downstream classification.
🔎 Free to read: doi.org/10.59275/j.melba.202…
