ArticleComputational intelligence and neuroscience2022
A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Efficient Medical Image Segmentation in Multisensor Imaging: A Survey in the Era of Mamba and Foundation Models.Sensors (Basel, Switzerland) · 2026Review
- Multimodal breast cancer diagnosis using feature fusion and deep learning.Frontiers in medicine · 2026Article
- FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms.Journal of cancer research and clinical oncology · 2025Article
- Automated segmentation and recognition of C. elegans whole-body cells.Bioinformatics (Oxford, England) · 2024Article
- Brain Tumor Detection and Categorization with Segmentation of Improved Unsupervised Clustering Approach and Machine Learning Classifier.Bioengineering (Basel, Switzerland) · 2024Article
- SEUPeerJ. Computer science · 2024Article
- Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network.Sensors (Basel, Switzerland) · 2023Article
- Deep learning-based automatic sella turcica segmentation and morphology measurement in X-ray images.BMC medical imaging · 2023Article
- When liver disease diagnosis encounters deep learning: Analysis, challenges, and prospects.iLIVER · 2023Review
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- Neural network-based method to stratify people at risk for developing diabetic foot: A support system for health professionals.PloS one · 2023Article
- Deep Learning Model for Grading Metastatic Epidural Spinal Cord Compression on Staging CT.Cancers · 2022Article
- Fast and Efficient Method for Optical Coherence Tomography Images Classification Using Deep Learning Approach.Sensors (Basel, Switzerland) · 2022Article
- Deep Learning to Measure the Intensity of Indocyanine Green in Endometriosis Surgeries with Intestinal Resection.Journal of personalized medicine · 2022Article
- Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data.Cancers · 2022Article
- Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning.Computational intelligence and neuroscience · 2022Article
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Authors and funding
9 authors.
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Abstract
Liver segmentation and recognition from computed tomography (CT) images is a warm topic in image processing which is helpful for doctors and practitioners. Currently, many deep learning methods are used for liver segmentation that takes a long time to train the model which makes this task challenging and limited to larger hardware resources. In this research, we proposed a very lightweight convolutional neural network (CNN) to extract the liver region from CT scan images. The suggested CNN algorithm consists of 3 convolutional and 2 fully connected layers, where softmax is used to discriminate the liver from background. Random Gaussian distribution is used for weight initialization which achieved a distance-preserving-embedding of the information. The proposed network is known as Ga-CNN (Gaussian-weight initialization of CNN). General experiments are performed on three benchmark datasets including MICCAI SLiver'07, 3Dircadb01, and LiTS17. Experimental results show that the proposed method performed well on each benchmark dataset.
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