Study types
- article 4
- other 1
- preprint 1
Condition tags
- endometriosis 5
- mesh:D004715 4
- mesh:D004414 2
- mesh:D004412 2
- infertility 1
- mesh:D017699 1
- endometrioma 1
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OBJECTIVE: To develop a machine learning method for the automatic recognition of endometriosis lesions during laparoscopic surgery and evaluate its feasibility and performance. DESIGN: Collecting and annotating surgical videos and training,…
Background: Laparoscopic surgery for endometriosis presents unique challenges due to the complexity of and variability in lesion appearances within the abdominal cavity. This study investigates the application of deep learning models for ob…
OBJECTIVE: To evaluate the relationship between genetic haplotypes associated with celiac disease (Human Leucocyte Antigen [HLA] DQ2 and DQ8) with the diagnosis, clinical presentation, and location of endometriosis in Brazilian women. METHO…
Laparoscopic surgery for endometriosis presents unique challenges due to the complexity and variability of lesion appearances within the abdominal cavity. This study investigates the application of deep learning models for object detection …