Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMedical Imaging: Digital Pathology 2019: San Diego, CA, USA
- John E. Tomaszewski, Aaron D. Ward:
Medical Imaging 2019: Digital Pathology, San Diego, California, United States, 16-21 February 2019. SPIE Proceedings 10956, SPIE 2019
Keynote and Microscopy
- Metin N. Gurcan:
Pixels to diagnosis: image analysis for digital pathology (Conference Presentation). 1095603 - Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Hua Li, Mark A. Anastasio:
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression. 1095604 - Xi Chen, Lijun Shen, Qiwei Xie, Hua Han:
Skeleton-based image registration of serial electron microscopy sections. 1095605
Diagnosis, Prognosis, Predictive Analysis
- Quy Dinh Duong, Quoc Dang Vu, Daigeun Lee, Stephen M. Hewitt, Kyungeun Kim, Jin Tae Kwak
:
Scale embedding shared neural networks for multiscale histological analysis of prostate cancer. 1095606 - Cristian Barrera, Germán Corredor, Xiangxue Wang, Kurt A. Schalper, David L. Rimm, Vamsidhar Velcheti, Anant Madabhushi, Edgar Eduardo Romero Castro:
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. 1095607 - Aurijoy Majumdar, Kuang-Yu Jen, Sanjay Jain, John E. Tomaszewski, Pinaki Sarder:
Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models. 1095608 - Pushpak Pati, Raúl Catena, Orcun Goksel, Maria Gabrani:
A deep learning framework for context-aware mitotic activity estimation in whole slide images. 1095609 - Hans Pinckaers, Wouter Bulten, Geert Litjens:
High resolution whole prostate biopsy classification using streaming stochastic gradient descent. 109560A
Precision Medicine and Grading
- Faranak Aghaei, Yao Nie:
Computer aided antibody screening for IHC assay development. 109560C - Wenchao Han, Carol Johnson, Mena Gaed, José A. Gómez, Madeleine Moussa, Joseph L. Chin, Stephen E. Pautler, Glenn Bauman, Aaron D. Ward:
Automatic high-grade cancer detection on prostatectomy histopathology images. 109560D - Kasper Tall, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden:
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN. 109560E - Chen-Yu Sun, Weiguo Liu, Scott Doyle:
Two-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mapping. 109560F - Peter Lawson, Jordan Schupbach, Brittany Terese Fasy, John W. Sheppard:
Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images. 109560G
Machine Learning Trends
- Caner Mercan, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
From patch-level to ROI-level deep feature representations for breast histopathology classification. 109560H - J. van Kersbergen, Farhad Ghazvinian Zanjani, Sveta Zinger, Fons van der Sommen, Benjamin Balluff, D. R. Naomi Vos, Shane R. Ellis, Ron M. A. Heeren, Marit Lucas, Henk A. Marquering, Ivo G. H. Jansen, C. D. Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With:
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks. 109560I - Gouthamrajan Nadarajan, Tyna A. Hope, Dan Wang, Alison Cheung, Fiona Ginty, Martin J. Yaffe, Scott Doyle:
Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy. 109560J - Martin T. Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks. 109560K - Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Automatic microscopic cell counting by use of deeply-supervised density regression model. 109560L
Segmentation and Feature Extraction
- Mohamed Amgad, Anindya Sarkar, Chukka Srinivas, Rachel Redman, Simrath Ratra, Charles J. Bechert, Benjamin C. Calhoun, Karen Mrazeck, Uday Kurkure, Lee A. D. Cooper, Michael Barnes:
Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer. 109560M - Faisal Mahmood, Richard J. Chen, Daniel Borders, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data. 109560N - Ilknur Icke, Alice Zhang, Sonal Singh, Belma Dogdas, Christian Mirescu, Matthew E. Kennedy, Sophia Bardehle:
3D profiling of amyloid plaque-associated microglia and neuronal damage on confocal fluorescence images to aid drug discovery in Alzheimer's disease. 109560O - Conor McKeen, Fatemeh Zabihollahy, Jinu Kurian, Adrian D. C. Chan, Dina El Demellawy, Eranga Ukwatta:
Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens. 109560P - Suzanne C. Wetstein, Allison M. Onken, Gabrielle M. Baker, Michael E. Pyle, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta:
Detection of acini in histopathology slides: towards automated prediction of breast cancer risk. 109560Q - Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. 109560R
Poster Session
- Ivica Kopriva, Gorana Aralica, Marijana Popovic Hadzija, Mirko Hadzija, Laura-Isabelle Dion-Bertrand, Xinjian Chen:
Hyperspectral imaging for intraoperative diagnosis of colon cancer metastasis in a liver. 109560S - Balamurali Murugesan, Sakthivel Selvaraj, Kaushik Sarveswaran, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep detection and classification of mitotic figures. 109560T - Taranpreet Rai, A. Morisi, B. Bacci, N. J. Bacon, Spencer Angus Thomas, R. M. La Ragione, M. Bober, Kevin Wells:
An investigation of aggregated transfer learning for classification in digital pathology. 109560U - Taranpreet Rai, A. Morisi, B. Bacci, N. J. Bacon, Spencer Angus Thomas, R. M. La Ragione, M. Bober, Kevin Wells:
Can ImageNet feature maps be applied to small histopathological datasets for the classification of breast cancer metastatic tissue in whole slide images? 109560V - Daiki Nakaya, Ayaka Tsutsumiuchi, Shin Satori, Makoto Saegusa, Tsutomu Yoshida, Ako Yokoi, Masaki Kano:
Digital pathology with hyperspectral imaging for colon and ovarian cancer. 109560X - Muhammad Khalid Khan Niazi, Thomas E. Tavolara, Çaglar Senaras, Gary Tozbikian, Douglas J. Hartman, Vidya Arole, Liron Pantanowitz, Metin N. Gurcan:
Generalization of tumor identification algorithms. 109560Z - Dig Vijay Kumar Yarlagadda, Praveen Rao, Deepthi S. Rao, Ossama Tawfik:
A system for one-shot learning of cervical cancer cell classification in histopathology images. 1095611 - Jonathan Folmsbee, Starr Johnson, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle:
Fragile neural networks: the importance of image standardization for deep learning in digital pathology. 1095613 - Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Wei Chen, Wendy L. Frankel, Metin N. Gurcan:
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. 1095614 - Qing Wu, Shiyu Xu, Hui Zhang, Xuyang Shi:
Cell nuclei segmentation in divergent images using deep learning and stochastic processing. 1095616 - Siddhartha Dhiman, Itender Singh, Pinaki Sarder:
Computational analysis of cerebrovascular structures imaged using two-photon microscopy. 1095617
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-07-02 20:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
