Supplementary Figure S4 from Quantitative and Morphology-Based Deep Convolutional Neural Network Approaches for Osteosarcoma Survival Prediction in the Neoadjuvant and Metastatic Settings Article Swipe

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Nicolas Coudray , Michael Occidental , José G. Mantilla , Adalberto Claudio Quiros , Ke Yuan , Ján Balko , Aristotelis Tsirigos , George Jour ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1158/1078-0432.28227527

Top 144 tiles from necrosis regions assigned with the highest probability as poor (row 1) or bad (row 2) outcome by the AI, and belonging to patients with poor (column 1) or bad (column 2) outcome.

Related Topics

Osteosarcoma

Convolutional Neural Network

Computer Science

Morphology (Biology)

Artificial Intelligence

Oncology

Medicine

Biology

Concepts

Osteosarcoma Convolutional neural network Computer science Morphology (biology) Overall survival Artificial intelligence Oncology Medicine Cancer research Biology Genetics

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1158/1078-0432.28227527
OA Status: gold
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DOI: https://doi.org/10.1158/1078-0432.28227527

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Title: Supplementary Figure S4 from Quantitative and Morphology-Based Deep Convolutional Neural Network Approaches for Osteosarcoma Survival Prediction in the Neoadjuvant and Metastatic Settings

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-01-17

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Authors: Nicolas Coudray, Michael Occidental, José G. Mantilla, Adalberto Claudio Quiros, Ke Yuan, Ján Balko, Aristotelis Tsirigos, George Jour

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Landing page: https://doi.org/10.1158/1078-0432.28227527

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Open access: Yes

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OA status: gold

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OA URL: https://doi.org/10.1158/1078-0432.28227527

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Concepts: Osteosarcoma, Convolutional neural network, Computer science, Morphology (biology), Overall survival, Artificial intelligence, Oncology, Medicine, Cancer research, Biology, Genetics

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Cited by: 0

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Related works (count): 10

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