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Digital Pathology 2018: Houston, Texas, USA
- John Tomaszewski, Metin N. Gurcan:
Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018. SPIE Proceedings 10581, SPIE 2018, ISBN 9781510616516
Keynote and Emerging Trends
- Çaglar Senaras
, Berkman Sahiner, Gary Tozbikian, Gerard Lozanski, Metin N. Gurcan
Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. 1058103 - Yao Nie, Maria V. Sainz de Cea:
Single stain normalization for IHC whole slide images. 1058104
Machine Learning Trends
- Erik A. Burlingame
SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks. 1058105 - Çaglar Senaras
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. 1058106 - Pushpak Pati, Sonali Andani, Matthew Pediaditis, Matheus Palhares Viana, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani:
Deep positive-unlabeled learning for region of interest localization in breast tissue images. 1058107 - M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling. 1058108 - Ryan Therrien, Scott Doyle:
Role of training data variability on classifier performance and generalizability. 1058109
Diagnosis, Prognosis, and Predictive Analysis
- Brandon G. Ginley, John Tomaszewski, Kuang-Yu Jen
Computational analysis of the structural progression of human glomeruli in diabetic nephropathy. 105810A - Olivier Simon, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Pinaki Sarder
Examining structural changes in diabetic nephropathy using inter-nuclear distances in glomeruli: a comparison of variously automated methods. 105810B - Brendon Lutnick, Rabi Yacoub, Kuang-Yu Jen
Deep variational auto-encoders for unsupervised glomerular classification. 105810C - Patrick Leo
Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients. 105810D - Najah M. Alsubaie, Korsuk Sirinukunwattana, Shan E Ahmed Raza
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma. 105810E - Krati Gupta, Arnav Bhavsar
Mitotic cells detection for HEp-2 specimen images using threshold-based evaluation scheme. 105810F
Detection and Segmentation
- Anna Maria Tsakiroglou
Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma. 105810G - M. Khalid Khan Niazi, Thomas E. Tavolara, Vidya Arole, Anil V. Parwani, Cheryl Lee, Metin N. Gurcan
Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. 105810H - Farhad Ghazvinian Zanjani, Svitlana Zinger, Peter H. N. de With:
Cancer detection in histopathology whole-slide images using conditional random fields on deep embedded spaces. 105810I - Auranuch Lorsakul, Jörg Bredno, Robert L. Ochs, Larry Morrison, William Day:
Validation of multiplex immunohistochemistry assays using automated image analysis. 105810J - Yao Nie, Christian Roessler, Emilia Andersson, Oliver Grimm:
Color deconvolution method with DAB scatter correction for bright field image analysis. 105810K - Daan J. Geijs, Milad Intezar, Jeroen A. W. M. van der Laak
Automatic color unmixing of IHC stained whole slide images. 105810L
Precision Medicine and Grading
- Pranjal Vaidya
RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer. 105810M - Martin T. Halicek, James V. Little, Xu Wang, Zhuo Georgia Chen, Mihir Patel, Christopher C. Griffith, Mark W. El-Deiry, Nabil F. Saba, Amy Y. Chen, Baowei Fei
Deformable registration of histological cancer margins to gross hyperspectral images using demons. 105810N - Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks. 105810O - Nicolas Brieu, Christos G. Gavriel, David J. Harrison
Context-based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence images. 105810P - Wenchao Han, Carol Johnson, Mena Gaed, José A. Gómez, Madeleine Moussa, Joseph L. Chin, Stephen E. Pautler, Glenn Bauman, Aaron D. Ward
Automatic cancer detection and localization on prostatectomy histopathology images. 105810Q
Poster Session
- Germán Corredor
A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images. 105810R - Wouter Bulten
Automated segmentation of epithelial tissue in prostatectomy slides using deep learning. 105810S - Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
Determining tumor cellularity in digital slides using ResNet. 105810U - Sean A. K. Pentinga, Keith Kwan, Sarah A. Mattonen
3D human lung histology reconstruction and registration to in vivo imaging. 105810V - Srishti Gautam, Arnav Bhavsar
CNN based segmentation of nuclei in PAP-smear images with selective pre-processing. 105810X - Mikaël Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, Oscar Alfonso Jiménez del Toro, Henning Müller
Tumor proliferation assessment of whole slide images. 105810Y - David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert Litjens
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. 105810Z - Adam R. Sibley, Maryellen L. Giger, Vladimir Liarski
Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks. 1058110 - Takayasu Moriya, Holger R. Roth
Unsupervised pathology image segmentation using representation learning with spherical k-means. 1058111 - Thomas de Bel, Meyke Hermsen, Bart Smeets, Luuk Hilbrands, Jeroen van der Laak
Automatic segmentation of histopathological slides of renal tissue using deep learning. 1058112 - Daniel E. Lopez Barron, Dig Vijay Kumar Yarlagadda
Scalable storage of whole slide images and fast retrieval of tiles using Apache Spark. 1058113 - Darshana Govind
Glomerular detection and segmentation from multimodal microscopy images using a Butterworth band-pass filter. 1058114 - Yue Du, Roy Zhang, Abolfazl Zargari, Theresa C. Thai, Camille C. Gunderson, Katherine M. Moxley, Hong Liu, Bin Zheng, Yuchen Qiu:
A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification. 1058116 - Gautham Nandakumar, Shantel Maharaj, David E. Breen, Fernando U. Garcia, Mark D. Zarella
Image processing to extend effective OCT penetration depth in tissue. 1058117 - Qi Gong, Benjamin P. Berman, Marios A. Gavrielides, Brandon D. Gallas:
Registration accuracy between whole slide images and glass slides in eeDAP workflow. 1058118 - Simon Graham, Muhammad Shaban, Talha Qaiser, Syed Ali Khurram, Nasir M. Rajpoot
Classification of lung cancer histology images using patch-level summary statistics. 1058119 - Pawel Kleczek
Segmentation of black ink and melanin in skin histopathological images. 105811A - Nathan Ing, Zhaoxuan Ma, Jiayun Li, Hootan Salemi, Corey W. Arnold, Beatrice S. Knudsen, Arkadiusz Gertych
Semantic segmentation for prostate cancer grading by convolutional neural networks. 105811B - Brendan Crabb, Niels Olson
SlideSeg: a Python module for the creation of annotated image repositories from whole slide images. 105811C - Chang Shu, Xi Chen, Qiwei Xie, Hua Han:
An unsupervised network for fast microscopic image registration. 105811D - Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Hidekata Hontani, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume:
Landmark-based reconstruction of 3D smooth structures from serial histological sections. 105811E - Golnaz Moallem
Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. 105811F
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