Search

Your search keyword '"liver tumor segmentation"' showing total 45 results

Search Constraints

Start Over You searched for: Descriptor "liver tumor segmentation" Remove constraint Descriptor: "liver tumor segmentation" Topic business Remove constraint Topic: business
45 results on '"liver tumor segmentation"'

Search Results

1. DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation

2. Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in <scp>CT</scp> images

3. Liver tumor segmentation from computed tomography images using <scp>multiscale</scp> residual dilated <scp>encoder‐decoder</scp> network

4. Automatic Liver Tumor Segmentation based on Multi-level Deep Convolutional Networks and Fractal Residual Network

5. A Multiple Layer U-Net, Un-Net, for Liver and Liver Tumor Segmentation in CT

6. Optimized segmentation and classification for liver tumor segmentation and classification using opposition‐based spotted hyena optimization

7. Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images

8. MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

9. A Multi-Scale and Multi-Resolution Approach for Liver Tumor Segmentation in CT Scans

10. Exploring automatic liver tumor segmentation using deep learning

11. Qau-Net: Quartet Attention U-Net for Liver and Liver-Tumor Segmentation

12. AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes

13. Liver Tumor Segmentation Based on Multi-Scale Candidate Generation and Fractal Residual Network

14. Liver Tumor Segmentation using Resnet based Mask-R-CNN

15. DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume

16. Study on Liver Tumor Segmentation Technology Based on Fully Convolutional Networks

17. RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

18. MACCAI LiTS17 Liver Tumor Segmentation Using RetinaNet

19. Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images

20. Liver Tumor Segmentation of CT Image by Using Deep Fully Convolutional Network

21. Improving Segmentation of Liver Tumors Using Deep Learning

22. Liver Tumor Segmentation in CT Scans Using Modified SegNet

23. Liver tumor segmentation in CT volumes using an adversarial densely connected network

24. CAAGP: Rethinking channel attention with adaptive global pooling for liver tumor segmentation

25. PO-1744: Privacy preserving distributed liver tumor segmentation

26. Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts

27. A Residual-Learning-Based Multi-Scale Parallel-Convolutions- Assisted Efficient CAD System for Liver Tumor Detection

28. Liver segmentation with 2.5D perpendicular UNets

29. Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation

30. Liver Tumor Segmentation Using Triplanar Convolutional Neural Network: A Pilot Study

31. Medical Images Sequence Normalization and Augmentation: Improve Liver Tumor Segmentation from Small Dataset

32. Fast Graph Cuts Based Liver and Tumor Segmentation on Olumetric CT Images

33. Liver Tumor Segmentation and Subsequent Risk Prediction Based on Deeplabv3+

34. Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans

36. Segmentation of liver tumor via nonlocal active contours

37. Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels

38. Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models

39. A likelihood and local constraint level set model for liver tumor segmentation from CT volumes

40. Liver Workbench: A Tool Suite for Liver and Liver Tumor Segmentation and Modeling

41. Liver Tumor Segmentation Using Kernel-Based FGCM and PGCM

43. Automatic ROI identification for fast liver tumor segmentation using graph-cuts

44. Analysis of variability in manual liver tumor delineation in CT scans

45. Integrating FCM and Level Sets for Liver Tumor Segmentation

Catalog

Books, media, physical & digital resources