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Digital and computational pathology

Inside the Lab Digital and computational pathology

All on the Same Page

| Sponsored by Paige

Paige’s FullFocus™ technology enables advanced viewing of slides, AI-mediated analysis, and collaborative examination of digital slides

Inside the Lab Digital and computational pathology

Feeling the Squeeze?

| Lorine Marcoux

Today’s pathologists must manage high caseloads and conflicting demands. Can digital solutions “bring to light more than the eye can see?”

Diagnostics Digital and computational pathology

Pathobot: Deep Learning for Humans and Machines

| Michael Schubert

How AI can help you make the most of social media and collaborative pathology

Inside the Lab Digital and computational pathology

Beyond Digital

| Aishwarya Khanduja, Charlene Tang

Understanding barriers in transforming pathology from digital to computational

Inside the Lab Digital and computational pathology

Pathology Image Viewing: Drill or Scan?

| Geoffrey Potjewyd

How do pathologists visually get the most information from digital breast pathology slides?

Inside the Lab Digital and computational pathology

Digital Pathology: a Roadmap for the Future

| E. Blair Holladay

New technologies such as digital pathology give the lab opportunities to grow and center itself in the patient care journey

Inside the Lab Digital and computational pathology

Beyond the Dam and the Floodwaters

| Sponsored by Leica

Change is hard – but digital pathology is entering a watershed moment…

Inside the Lab Digital and computational pathology

Scale Up, Scale Out with Dell EMC PowerScale

| Sponsored by Dell Technologies

Securely store and readily access your whole-slide images with Dell EMC PowerScale – no matter the size of your lab

Diagnostics Oncology

With a Little Help from AI

| Olivia Gaskill

Researchers are improving the robustness of artificial intelligence in leukemia and lymphoma diagnostics

Inside the Lab Digital and computational pathology

Extracting the Right Data for Patient Care

| Satabhisa Mukhopadhyay, Tathagata Dasgupta

AI can help pathologists achieve the best possible patient outcomes – but, to do so, it’s crucial to separate signal from noise


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