Phát hiện tự động điểm rò rỉ trong bệnh võng mạc tinh thể trung tâm bằng phương pháp chụp mạch huỳnh quang đáy mắt dựa trên việc học sâu theo chuỗi thời gian

Springer Science and Business Media LLC - Tập 259 - Trang 2401-2411 - 2021
Menglu Chen1, Kai Jin1, Kun You2, Yufeng Xu1, Yao Wang1, Chee-Chew Yip3, Jian Wu4, Juan Ye1
1Department of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, China
2Hangzhou Truth Medical Technology Ltd, Hangzhou, China
3Department of Ophthalmology, Khoo Teck Puat Hospital, Yishun Central, Singapore
4College of Computer Science and Technology, Zhejiang University, Hangzhou, China

Tóm tắt

Nghiên cứu này nhằm phát hiện tự động các điểm rò rỉ của bệnh võng mạc tinh thể trung tâm (CSC) từ các hình ảnh động của chụp mạch huỳnh quang đáy mắt (FFA) bằng cách sử dụng một thuật toán học sâu (DLA). Nghiên cứu bao gồm 2104 hình ảnh FFA từ 291 chuỗi FFA của 291 mắt (137 mắt phải và 154 mắt trái) từ 262 bệnh nhân. Các điểm rò rỉ được phân đoạn bằng mạng cửa chú ý (AGN). Vùng đĩa thị (OD) và vùng hoàng điểm được phân đoạn đồng thời bằng cách sử dụng U-net. Để giảm bớt số lượng dương tính giả dựa trên chuỗi thời gian, các điểm rò rỉ được đối chiếu theo vị trí của chúng liên quan đến OD và hoàng điểm. Chỉ với AGN, số lượng trường hợp có kết quả phát hiện hoàn toàn khớp với thực tế chỉ là 37 trên tổng số 61 trường hợp (60.7%) trong tập kiểm tra. Chỉ số Dice trên mức tổn thương là 0.811. Sử dụng quy trình loại bỏ để loại bỏ các dương tính giả, số lượng trường hợp phát hiện chính xác tăng lên 57 (93.4%). Chỉ số Dice trên mức tổn thương cũng cải thiện lên 0.949. Sử dụng DLA, các điểm rò rỉ CSC trong FFA có thể được xác định một cách tái lập và chính xác với sự khớp tốt với thực tế. Phát hiện mới này có thể mở đường cho ứng dụng tiềm năng của trí tuệ nhân tạo trong việc hướng dẫn liệu pháp laser.

Từ khóa

#bệnh võng mạc tinh thể trung tâm #rò rỉ #chụp mạch huỳnh quang đáy mắt #học sâu #mạng cửa chú ý #phân đoạn

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