ABSTRACT
Flexible bronchoscopy has revolutionized respiratory disease diagnosis. It offers direct visualization and detection of airway abnormalities, including lung cancer lesions. Accurate identification of airway lesions during flexible bronchoscopy plays an important role in the lung cancer diagnosis. The application of artificial intelligence (AI) aims to support physicians in recognizing anatomical landmarks and lung cancer lesions within bronchoscopic imagery. This work described the development of BM-BronchoLC, a rich bronchoscopy dataset encompassing 106 lung cancer and 102 non-lung cancer patients. The dataset incorporates detailed localization and categorical annotations for both anatomical landmarks and lesions, meticulously conducted by senior doctors at Bach Mai Hospital, Vietnam. To assess the dataset's quality, we evaluate two prevalent AI backbone models, namely UNet++ and ESFPNet, on the image segmentation and classification tasks with single-task and multi-task learning paradigms. We present BM-BronchoLC as a reference dataset in developing AI models to assist diagnostic accuracy for anatomical landmarks and lung cancer lesions in bronchoscopy data.
Subject(s)
Bronchoscopy , Lung Neoplasms , Humans , Artificial Intelligence , Lung Neoplasms/diagnostic imaging , Thorax/diagnostic imaging , Anatomic Landmarks/diagnostic imagingSubject(s)
Angiomatosis/pathology , Breast Diseases/pathology , Hyperplasia/pathology , Adult , Angiomatosis/diagnostic imaging , Angiomatosis/surgery , Breast Diseases/diagnostic imaging , Breast Diseases/surgery , Female , Humans , Hyperplasia/diagnostic imaging , Hyperplasia/surgery , Mastectomy, SegmentalABSTRACT
Community Based Rehabilitation (CBR) includes Physical rehabilitation, Social rehabilitation, Educational rehabilitation and Economical rehabilitation. Mai Chau is one of the high mountain districts of Hoa Binh province with population of 47716. After to do "house to house" surveys, the number of disabled people in general of Mai Chau is 2.6% of the population; 47.2% of them is in need of rehabilitation. Disability survey show that difficulty in moving (40.2%) is the most frequent disabilities; difficulty in seeing 19.7%; difficulty in hearing and speaking 12.7%; difficulty in learning 5.9%; Epilepsy 5%; strange behavior 11.5%, others disabilities 5%. Rehabilitation and Community Based Rehabilitation is one of the best way to deal with disabilities problem in Viet Nam
