Visualization of model prediction results (heatmaps) indicating the classification confidence of each pixel.

Visualization of model prediction results (heatmaps) indicating the classification confidence of each pixel.

<p>(A) Malignant images and (B) corresponding heatmap. (C) Benign image and (D) corresponding heatmap.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Qingyang Wang (460264) (author)
مؤلفون آخرون: Yazhi Luo (20648632) (author), Ying Zhao (16546) (author), Shuhao Wang (4637881) (author), Yiru Niu (11141535) (author), Jinxi Di (20648635) (author), Jia Guo (156736) (author), Guorong Lan (20648638) (author), Lei Yang (102719) (author), Yu Shan Mao (20648641) (author), Yuan Tu (11231151) (author), Dingrong Zhong (740693) (author), Pei Zhang (232846) (author)
منشور في: 2025
الموضوعات:
Medicine
Cell Biology
Biotechnology
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
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provides better preservation
low interobserver consistency
deep neural networks
pulmonary lesions based
model &# 8217
intraoperative cytological segmentation
mean pixel accuracy
pixel level
mean intersection
yolov8 algorithm
test set
strongly correlated
sections individually
proposed method
pathologist diagnoses
model predictions
model achieved
microscopic images
make clinical
lung cancer
level decisions
less invasive
initial diagnosis
impressive speed
histological examination
gold standard
experienced pathologist
detection model
deemed suitable
consuming process
complete morphology
automated recognition
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الوصف
الملخص:<p>(A) Malignant images and (B) corresponding heatmap. (C) Benign image and (D) corresponding heatmap.</p>

مواد مشابهة