Chia-Jung Liu et al. found this Deep #NeuralNetwork model had satisfactory performance & higher accuracy than pulmonologists when classifying presumptive mycobacterial lung diseases, showing promise as a first-line screening tool. #InsightsIntoImaging
【機械学習で結核と非結核性抗酸菌症を鑑別 (Insights Imaging)】 胸部X線で肺結核、非結核性500枚ずつ後ろ向きに機械学習。正確性は機械学習66%、ベテラン呼吸器科医51%、若い呼吸器科医48%と機械学習に軍配。 https://t.co/P93vVxzW8A https://t.co/T2wiO0WVir
NTM-NET courtesy: A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study https://t.co/pMQQfgV2pn
A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study https://t.co/DZAdiTChC0 https://t.co/l4HlbXbJNq
A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study https://t.co/ltG9lHSyMA
A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study https://t.co/BMmzXetrB2