Why Detecting TP53 Mutations in Digital Slides Remains a Challenge

Table of Links Abstract and I. Introduction Materials and Methods 2.1. Multiple Instance Learning 2.2. Model Architectures Results 3.1. Training Methods 3.2. Datasets 3.3. WSI Preprocessing Pipeline 3.4. Classification and RoI Detection Results Discussion 4.1. Tumor Detection Task 4.2. Gene Mutation Detection Task Conclusions Acknowledgements Author Declaration and References 4.2. Gene Mutation Detection Task For … Read more

How AI Models Are Rethinking Tumor Detection at the Tissue Level

Table of Links Abstract and I. Introduction Materials and Methods 2.1. Multiple Instance Learning 2.2. Model Architectures Results 3.1. Training Methods 3.2. Datasets 3.3. WSI Preprocessing Pipeline 3.4. Classification and RoI Detection Results Discussion 4.1. Tumor Detection Task 4.2. Gene Mutation Detection Task Conclusions Acknowledgements Author Declaration and References 4. Discussion 4.1. Tumor Detection Task … Read more

Implementing on-demand deployment with customized Amazon Nova models on Amazon Bedrock

Amazon Bedrock offers model customization capabilities for customers to tailor versions of foundation models (FMs) to their specific needs through features such as fine-tuning and distillation. Today, we’re announcing the launch of on-demand deployment for customized models ready to be deployed on Amazon Bedrock. On-demand deployment for customized models provides an additional deployment option that … Read more

Heatmap and Accuracy Results from Medical Image Classification Models

Table of Links Abstract and I. Introduction Materials and Methods 2.1. Multiple Instance Learning 2.2. Model Architectures Results 3.1. Training Methods 3.2. Datasets 3.3. WSI Preprocessing Pipeline 3.4. Classification and RoI Detection Results Discussion 4.1. Tumor Detection Task 4.2. Gene Mutation Detection Task Conclusions Acknowledgements Author Declaration and References 3.4. Classification and RoI Detection Results … Read more