AIMC Topic: Splenomegaly

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SVNC-Net: An optimized U-Net variant with 2D convolutions for lightweight 3D spleen segmentation.

PloS one Nov 25, 2025
Accurate measurement of spleen volume is essential for the diagnosis of splenomegaly. While Computed Tomography (CT) is among the most reliable imaging modalities for this task, manual segmentation of the spleen is labor-intensive and impractical for...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Spleen Splenomegaly
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Noncirrhotic Portal Hypertension after Trastuzumab Emtansine in HER2-positive Breast Cancer as Determined by Deep Learning-measured Spleen Volume at CT.

Radiology Aug 9, 2022
Background Trastuzumab emtansine (T-DM1) is an antibody-drug conjugate approved for use in human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Case reports have suggested an association between T-DM1 and portal hypertension. Purpo...
Humans Retrospective Studies Tomography, X-Ray Computed Female Breast Neoplasms Middle Aged Deep Learning Antineoplastic Combined Chemotherapy Protocols Capecitabine Receptor, ErbB-2 Spleen Lapatinib Hypertension, Portal Splenomegaly Ado-Trastuzumab Emtansine
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Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

IEEE transactions on medical imaging Nov 13, 2018
The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen diseases. Automated segmentation methods are essential to efficiently quantify splenomegaly from clinically acquired abdominal...
Humans Neural Networks, Computer Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Spleen Splenomegaly
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