A Study on Nuclei Segmentation, Feature Extraction and Disease Stage Classification for Human Brain Histopathological Images.

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FASNet: Feature Alignment-based method with digital pathology ...

6 days ago · Recently, a vision transformer-based model has been developed for nuclei classification from histopathology images [33], and a different method using attention- ...

A worldwide study of subcortical shape as a marker for clinical ...

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1 day ago · In the largest study on subcortical shape in PD to date, we found local abnormalities of subcortical brain regions in people with PD compared to controls across ...

Human Brain Mapping | Neuroimaging Journal

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6 days ago · Perfusion changes in white matter (WM) lesions and normal-appearing brain regions play an important pathophysiological role in multiple sclerosis (MS).

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A foundation model for joint segmentation, detection and ...

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2 days ago · Here, we propose BiomedParse, a biomedical foundation model that can jointly conduct segmentation, detection and recognition across nine imaging modalities.

Missing: Histopathological | Show results with:Histopathological

Clustered Patch Embeddings for Permutation-Invariant Classification ...

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7 days ago · In this study, we developed a comprehensive framework for the preprocessing, feature extraction, clustering, and classification of whole slide histology images ...

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eMCI: An Explainable Multimodal Correlation Integration Model for ...

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1 day ago · From the perspective of ligand–receptor interactions in cell signaling analysis, eMCI can further infer the underlying dynamics of cellular signal transduction ...

Decoding transcriptional identity in developing human sensory ...

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5 days ago · In this study, we utilized single-nucleus RNA sequencing (snRNA-seq), multiplexed-image-based transcription factor (TF) sequential fluorescence in situ ...

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[PDF] BiaPy: Accessible deep learning on bioimages - bioRxiv

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6 days ago · Abstract. BiaPy is an open-source library and application that streamlines the use of common deep learning approaches for bioimage analysis.

Missing: Histopathological | Show results with:Histopathological

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks

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5 days ago · To facilitate the development of S-XAI methods for medical image analysis, this survey presents a comprehensive review across various image modalities and ...

Characterization of Breast Cancer Intra-Tumor Heterogeneity Using ...

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4 days ago · In this study, we aimed to develop an AI-based algorithm to measure and quantify features that represent intra-tumor heterogeneity in breast cancer and present ...