Sign Up to like & get
recommendations!
0
Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2017.08.018
Abstract: BACKGROUND AND OBJECTIVE Retinal vascular tree extraction plays an important role in computer-aided diagnosis and surgical operations. Junction point detection and classification provide useful information about the structure of the vascular network, facilitating objective analysis…
read more here.
Keywords:
precision recall;
hierarchical probabilistic;
model;
vascular tree ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-89369-z
Abstract: We examined whether a tool for determining Johnsen scores automatically using artificial intelligence (AI) could be used in place of traditional Johnsen scoring to support pathologists’ evaluations. Average precision, precision, and recall were assessed by…
read more here.
Keywords:
precision recall;
average precision;
johnsen scores;
johnsen ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "Neural Computation"
DOI: 10.1162/neco_a_01362
Abstract: In this note, I study how the precision of a binary classifier depends on the ratio r of positive to negative cases in the test set, as well as the classifier's true and false-positive rates.…
read more here.
Keywords:
precision recall;
imbalance precision;
class imbalance;
effect class ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "Bioresources"
DOI: 10.15376/biores.15.4.9351-9361
Abstract: This study reports the feasibility of using deep convolutional neural networks (CNN), for automatically detecting knots on the surface of wood with high speed and accuracy. A limited dataset of 921 images were photographed in…
read more here.
Keywords:
knot detection;
precision recall;
precision;
wood ... See more keywords