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ORCIDComputerized Medical Imaging and Graphics, Volume 75
Volume 75, July 2019
- Hykoush A. Asaturyan
, Antonio Gligorievski, Barbara Villarini:
Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation. 1-13
- Peter Q. Lee, Alessandro Guida, Steve Patterson, Thomas Trappenberg, Chris V. Bowen, Steven D. Beyea, Jennifer Merrimen, Cheng Wang, Sharon E. Clarke:
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study. 14-23
- Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh:
Combo loss: Handling input and output imbalance in multi-organ segmentation. 24-33
- Zar Nawab Khan Swati, Qinghua Zhao, Muhammad Kabir, Farman Ali, Zakir Ali, Saeed Ahmed, Jianfeng Lu:
Brain tumor classification for MR images using transfer learning and fine-tuning. 34-46
- Setareh Dabiri, Karteek Popuri, Elizabeth M. Cespedes Feliciano, Bette J. Caan, Vickie E. Baracos, Mirza Faisal Beg:
Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis. 47-55
- Yu Wang, Changsheng Li, Ting Zhu, Jingyang Zhang:
Multimodal brain tumor image segmentation using WRN-PPNet. 56-65
- Han Liu, Lei Wang, Yandong Nan, Faguang Jin, Qi Wang, Jiantao Pu:
SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images. 66-73
- Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Amir Hossein Foruzan, Wei Xiong, Yen-Wei Chen:
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. 74-83
- Pingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle Allen, Lin Yang:
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. 84-92
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