ロバストな大腸内視鏡ポリープセグメンテーションのための、マルチスケールおよび不確実性認識アダプテーションを備えた動的Nu T-Loss
Alireza Norouziazad1,2, Mahan Najafpour Ghazvini Fardshad1, Fatemeh Esmaeildoost1,3
1Laboratory of Advanced Biotechnologies for Health Assessments (LAB-HA), Lassonde School of Engineering, York University, Toronto, ON, Canada.
DNA-TLossは、画像変動に適応的に調整し、マルチスケール詳細を組み込むことで、大腸内視鏡画像のポリープセグメンテーションを改善する新しい動的損失関数です。これにより、より正確な大腸がん検出と信頼性の高いAI支援診断が可能になります。
さらに関連する動画
06:28E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
06:40A Robust Method for the Large-Scale Production of Spheroids for High-Content Screening and Analysis Applications
Published on: December 28, 2021
関連する概念動画
Adaptations that Reduce Water Loss
The Uncertainty Principle
Self-Awareness and Its Effects
Uncertainty in Measurement: Reading Instruments
Altered States of Awareness
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
Subconsciousness and No Awareness
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
