P#
POSTER TITLE
1
A Deep Learning method for Tumour Region Identification and Tumour Proportion Score Estimation of PD-L1 Expression in Non- Small Cell Lung Carcinoma
2
Enhancing Histological Tissue and Cell Characterization with Simultaneous Gene Expression and Protein Measurements
3
Single-Section Multiomics Mapped Across FFPE Tissue
4
Assessment of Digital Image Focus Quality using Heat Map Visualization
5
The Baylor College of Medicine Digital Transformation
6
A framework for building robust deep-learning models against out-of-focus artifact in whole-slide images
7
Use of UNet Model and HALO to Accelerate Deep Learning Algorithm Development in Duplex IHC Assay for ER-PR
8
Deployment of a deep learning model to assist pathologists with donor kidney biopsy evaluation
9
A Robust Deep Learning Approach for Precisely Segmenting Cells in Multiplex Tissue Images
10
Embracing digital and computational pathology during residency training: Perspectives from two former anatomic pathology residents
11
Pathology resident experience using a low-cost 3D printed microscope for portable digital pathology
12
Synthetic data in machine learning for pathology
13
AI-based pathology predicts origins for cancers of unknown primary
14
AI-based Fast and Scalable Image Search for Rare Disease Diagnosis
15
Weakly supervised and interpretable computational pathology model predicts amyotrophic lateral sclerosis in CD68 and pTDP-43 IHC-stained whole slide images
16
Benford's Law in digital pathology
17
Communicating Digital Pathology
18
Tumoral Aware Deep Learning Algorithm For Automatic KI67 Scoring
19
Intraepithelial lymphocytosis quantification by machine learning in celiac disease. A CELAC study
20
Automated nerve identification in histopathology slides enables comprehensive analysis of innervation in cancer and tumor neurobiology
21
Unveiling the spatial organization of tumor-infiltrating lymphocytes and correlation to clinical outcomes using deep learning in ER positive breast cancer
22
Virtual Centralized Pathology = More Accurate Patient Data
23
Identification and classification of morphological phenotypes in nature and in cancer
24
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
25
AI System for Reducing Inter-Observer Variability in Endomyocardial Biopsy Assessment
26
Multimodal AI-based assessment of renal allograft biopsies
27
Deep Learning-based Integration of Histology and Radiology for Improved Survival Outcome Prediction in Glioma Patients
28
A 3D printed embedded AI-based microscope for pathology diagnosis
29
Semi-automatic segmentation workflow for multiplexed ion beam imaging
30
Towards Semantic Encoding in Digital Pathology using Weakly Supervised Learning Strategies
31
Evaluation of Domain Specific Encoding Strategies as Compared to Transfer Learning Approaches in Digital Pathology
32
Using Progressive Context Encoders for Anomaly Detection in Digital Pathology Images
33
Dicom_wsi: A Python Implementation for Converting Whole-Slide Images to Digital Imaging and Communications in Medicine Compliant Files
34
Robotic intelligent scanning with in-line quality assessment successfully digitized 24K histopathology archival slides with minimal human intervention
35
AI vs. Microscope in Primary Diagnosis: Novel AI-Based Solution Increases the Efficiency and Accuracy of Prostate Biopsies Reporting
36
Developing an explainable AI model for diagnosis and prognosis in interstitial lung disease
37
Toward placental region identification and blood vessel classification using machine learning
38
Beyond saliency heatmaps: explaining deep-learning nucleus classification with intuitive decision tree approximations
39
Optimization and validation of immunohistochemical assays for the detection of TREM2 and evaluation by image analysis in FFPE human tissue
40
Deep multi-instance learning for predicting mismatch repair deficiency in colon biopsies
41
Deep multi-instance learning for classifying cancer types in endometrial biopsies
43
INIFY Prostate predictions on prostate biopsy: Impact of preanalytical factors and user experience
44
A digital method to interpret the C-MYC stain in diffuse large B cell lymphoma
45
Deep neural network as a decision support tool for the detection of lymph node metastases of colorectal cancer
46
Evaluation of 3 different scanners’ performance in creating images suitable for INIFY Prostate* to accurately predict suspicious cancer areas in prostate biopsies
48
Diagnostic Accuracy of Digital Pathology in the Evaluation of Lymphoproliferative Disorders
49
Deep learning-based quantification of vasculature in renal cancer predicts angiogenesis and survival
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October 16-18 | Las Vegas, NV
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