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ORCIDComputerized Medical Imaging and Graphics, Volume 71
Volume 71, January 2019
- Yohan Sumathipala, Majid Shafiq, Erika Bongen
, Connor Brinton, David Paik:
Machine learning to predict lung nodule biopsy method using CT image features: A pilot study. 1-8
- Antonin Prochazka, Sumeet Gulati, Stepan Holinka, Daniel Smutek:
Patch-based classification of thyroid nodules in ultrasound images using direction independent features extracted by two-threshold binary decomposition. 9-18
- Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Alain Pitiot, Chunliang Wang:
Fusing fine-tuned deep features for skin lesion classification. 19-29
- Dwarikanath Mahapatra, Behzad Bozorgtabar, Rahil Garnavi:
Image super-resolution using progressive generative adversarial networks for medical image analysis. 30-39
- Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
CNN cascades for segmenting sparse objects in gigapixel whole slide images. 40-48
- Jie Liu, Hongzhi Xie, Shuyang Zhang, Lixu Gu:
Multi-sequence myocardium segmentation with cross-constrained shape and neural network-based initialization. 49-57
- Jinjin Hai, Hongna Tan, Jian Chen, Minghui Wu, Kai Qiao, Jingbo Xu, Lei Zeng, Fei Gao, Dapeng Shi, Bin Yan:
Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms. 58-66
- Colin J. Brown, Steven P. Miller, Brian G. Booth, Jill G. Zwicker, Ruth E. Grunau, Anne R. Synnes, Vann Chau, Ghassan Hamarneh:
Predictive connectome subnetwork extraction with anatomical and connectivity priors. 67-78 - Oualid M. Benkarim, Gemma Piella, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester, Gerard Sanroma:
Patch spaces and fusion strategies in patch-based label fusion. 79-89
- Kaushiki Roy, Debapriya Banik, Debotosh Bhattacharjee, Mita Nasipuri:
Patch-based system for Classification of Breast Histology images using deep learning. 90-103
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