Deciphex Presents Poster at STP 2022 - “Using AI Based Nuclear Segmentation to Infer Toxicologic Pathology Outcomes such as Liver Hypertrophy from Cell Density Maps”
Deciphex Presents Poster at STP 2022 - “Using AI Based Nuclear Segmentation to Infer Toxicologic Pathology Outcomes such as Liver Hypertrophy from Cell Density Maps”
Year
2022
Conference
Deciphex Presents Poster at STP 2022 - “Using AI Based Nuclear Segmentation to Infer Toxicologic Pathology Outcomes such as Liver Hypertrophy from Cell Density Maps”
Deciphex Presents Poster at STP 2022 - “Using AI Based Nuclear Segmentation to Infer Toxicologic Pathology Outcomes such as Liver Hypertrophy from Cell Density Maps”
Deciphex Announce the Release of New Service Which Enables Veterinary Consultant Pathologists to Easily Onboard Digital Studies from their Partners via Patholytix Preclinical
Deciphex Announce the Release of New Service Which Enables Veterinary Consultant Pathologists to Easily Onboard Digital Studies from their Partners via Patholytix Preclinical
Year
2022
Conference
Deciphex Announce the Release of New Service Which Enables Veterinary Consultant Pathologists to Easily Onboard Digital Studies from their Partners via Patholytix Preclinical
Deciphex Announce the Release of New Service Which Enables Veterinary Consultant Pathologists to Easily Onboard Digital Studies from their Partners via Patholytix Preclinical
Evaluation of the Use of Single- and Multi-Magnification Convolutional Neural Networks for the Determination and Quantitation of Lesions in Nonclinical Pathology Studies
Evaluation of the Use of Single- and Multi-Magnification Convolutional Neural Networks for the Determination and Quantitation of Lesions in Nonclinical Pathology Studies
Year
2021
Conference
Evaluation of the Use of Single- and Multi-Magnification Convolutional Neural Networks for the Determination and Quantitation of Lesions in Nonclinical Pathology Studies
Evaluation of the Use of Single- and Multi-Magnification Convolutional Neural Networks for the Determination and Quantitation of Lesions in Nonclinical Pathology Studies
Detecting Secondary Follicles in the Spleen and Lymph Nodes : An Exploratory Study Case to Compare Image Analysis on IHC Slides Versus AI based Detection on H&E Stained Slides
Detecting Secondary Follicles in the Spleen and Lymph Nodes : An Exploratory Study Case to Compare Image Analysis on IHC Slides Versus AI based Detection on H&E Stained Slides
Year
2021
Conference
DP & AI
Detecting Secondary Follicles in the Spleen and Lymph Nodes : An Exploratory Study Case to Compare Image Analysis on IHC Slides Versus AI based Detection on H&E Stained Slides
Detecting Secondary Follicles in the Spleen and Lymph Nodes : An Exploratory Study Case to Compare Image Analysis on IHC Slides Versus AI based Detection on H&E Stained Slides
Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies
Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies
Year
2020
Conference
Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies
Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies
Deep Learning Enables Screening for Tumor Positive and Negative Tg-rasH2 Mice in Positive Control Groups at 100% Concordance with Toxicologic Pathologists
Deep Learning Enables Screening for Tumor Positive and Negative Tg-rasH2 Mice in Positive Control Groups at 100% Concordance with Toxicologic Pathologists
Year
2019
Conference
ACVP
Deep Learning Enables Screening for Tumor Positive and Negative Tg-rasH2 Mice in Positive Control Groups at 100% Concordance with Toxicologic Pathologists
Deep Learning Enables Screening for Tumor Positive and Negative Tg-rasH2 Mice in Positive Control Groups at 100% Concordance with Toxicologic Pathologists