AIMC Topic: Spleen
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ASO Author Reflections: Open/Robotic-Splenic Vessels Preserving Distal Pancreatectomy can be a Good Option for Post-Distal Gastrectomy Patients.
Annals of surgical oncology
Jul 9, 2023
Robust and efficient abdominal CT segmentation using shape constrained multi-scale attention network.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
May 11, 2023
PURPOSE: Although many deep learning-based abdominal multi-organ segmentation networks have been proposed, the various intensity distributions and organ shapes of the CT images from multi-center, multi-phase with various diseases introduce new challe...
The three-dimensional weakly supervised deep learning algorithm for traumatic splenic injury detection and sequential localization: an experimental study.
International journal of surgery (London, England)
May 1, 2023
BACKGROUND: Splenic injury is the most common solid visceral injury in blunt abdominal trauma, and high-resolution abdominal computed tomography (CT) can adequately detect the injury. However, these lethal injuries sometimes have been overlooked in c...
MTL-ABSNet: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.
IEEE journal of biomedical and health informatics
Aug 11, 2022
Organ segmentation is one of the most important step for various medical image analysis tasks. Recently, semi-supervised learning (SSL) has attracted much attentions by reducing labeling cost. However, most of the existing SSLs neglected the prior sh...
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...
Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease.
Tomography (Ann Arbor, Mich.)
Jul 13, 2022
Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disease). However, measuring organ volumes is tedious and involves manually contouring organ outlines on multiple cross-sectional MRI or CT images. The aut...
The Gastrohepatic Ligament Approach in Robotic Spleen-Preserving Distal Pancreatectomy with Resection of the Splenic Vessels: The Superior Window Approach in the Warshaw Technique.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Mar 11, 2022
BACKGROUND: There have been few studies reporting on the surgical approaches of minimally invasive spleen-preserving distal pancreatectomy (SPDP). Herein, we present two cases who underwent robotic SPDP with resection of the splenic vessels using our...
Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine.
Computational and mathematical methods in medicine
Feb 12, 2022
Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. There...
Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen.
Tomography (Ann Arbor, Mich.)
Dec 13, 2021
The aim of this study was to develop a deep learning-based algorithm for fully automated spleen segmentation using CT images and to evaluate the performance in conditions directly or indirectly affecting the spleen (e.g., splenomegaly, ascites). For ...
Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model.
European radiology
May 20, 2021
OBJECTIVES: Deep learning has been proven to be able to stage liver fibrosis based on contrast-enhanced CT images. However, until now, the algorithm is used as a black box and lacks transparency. This study aimed to provide a visual-based explanation...
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