My name is Minh-Khang Le. I am a pathology researcher. Graduating as a medical student, I have been pursuing the field of human pathology since 2019.
My research and academic interests:
(1) Applying Computer Vision models to extract morphologic features for cancer evaluation and treatment.
(2) Using bioinformatic techniques to find novel biomarkers for risk stratification and targeted therapy.
(3) Developing and refining my diagnostic skills as a hematopathologist since 2019.
I hope to contribute my best, but tiny, effort to the application of AI technology in research and practicing pathology.
I thank Chad Baldwin for his helpful online instruction to create this Blog.
Posts
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FDPNP10: Handling Whole Slide Image in Histopathology
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FDPNP9: Inside the Vision Transformer (Part 2)
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FDPNP8: Inside the Vision Transformer (Part 1)
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FDPNP7: Inside the Convolution
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FDPNP6: The operation of neural networks (Part 2)
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FDPNP5: The operation of neural networks (Part 1)
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Data Simulation is a helpful tool for learning Bioinformatics
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FDPNP4: Artificial Intelligence under the Microscope (Part 3)
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FDPNP3: Artificial Intelligence under the Microscope (Part 2)
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FDPNP2: Artificial Intelligence under the Microscope (Part 1)
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FDPNP1: The Structure of Images
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Harmonizing Colors Across Institutions: An Introduction to Vahadane Stain Normalization in Digital Pathology
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Building Blocks for AI: Unpacking the Essentials of Test Data for Computer Vision in Digital Pathology (P.2) — Summary from An Excellent Review
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Building Blocks for AI: Unpacking the Essentials of Training Data for Computer Vision in Digital Pathology (P.1)
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Embarking on a Journey: A Novice’s Guide to Histopathology Annotation in Deep Learning
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Histopathological Biomarker Extraction by Computer Vision
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AI Computer Vision Histopathology Research Landscape in Cancer Detection
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AI approaches can aid subjective tasks in Histopathology
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The Flow of the Data Preparation Process of Histopathology Tasks
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Label Noise and Its Problems for Computer Vision Model in Histopathology
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Multiple Instance Learning (MIL) and its utility in Whole Slide Image (WSI) analyses
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My Experience in Survival Prediction of Histopathology-based Computer Vision Models
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