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Publication search results
found 10 matches
- 2019
- 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. Comput. Medical Imaging Graph. 71: 79-89 (2019) - 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. Comput. Medical Imaging Graph. 71: 67-78 (2019) - Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
CNN cascades for segmenting sparse objects in gigapixel whole slide images. Comput. Medical Imaging Graph. 71: 40-48 (2019) - 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. Comput. Medical Imaging Graph. 71: 58-66 (2019) - Jie Liu, Hongzhi Xie, Shuyang Zhang, Lixu Gu:
Multi-sequence myocardium segmentation with cross-constrained shape and neural network-based initialization. Comput. Medical Imaging Graph. 71: 49-57 (2019) - Dwarikanath Mahapatra, Behzad Bozorgtabar, Rahil Garnavi:
Image super-resolution using progressive generative adversarial networks for medical image analysis. Comput. Medical Imaging Graph. 71: 30-39 (2019) - Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Alain Pitiot, Chunliang Wang:
Fusing fine-tuned deep features for skin lesion classification. Comput. Medical Imaging Graph. 71: 19-29 (2019) - 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. Comput. Medical Imaging Graph. 71: 9-18 (2019) - Kaushiki Roy, Debapriya Banik, Debotosh Bhattacharjee, Mita Nasipuri:
Patch-based system for Classification of Breast Histology images using deep learning. Comput. Medical Imaging Graph. 71: 90-103 (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. Comput. Medical Imaging Graph. 71: 1-8 (2019)
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