Results 81 to 90 of about 1,121 (144)

An automated method for tree-ring delineation based on active contours guided by DT-CWT complex coefficients in photographic images: Application to Abies alba wood slice images

open access: yes, 2015
International audienceThis paper describes an efficient method for delineating tree-rings and inter tree-rings in wood slice images. The method is based on an active contour approach and a multi-scale gradient map resulting from the Dual Tree Complex ...
Borianne, Philippe   +2 more
core   +1 more source

Is machine learning efficient for mango yield estimation when used under heterogeneous field conditions?

open access: yes, 2018
International audienceIn the last decade, image analysis using machine learning algorithms proved its potential for the detection and counting of plant organs.
Normand, F.   +9 more
core   +1 more source

Modelo de predicción del desarrollo de carcinoma hepatocelular en infección crónica por el virus de la Hepatitis B [PDF]

open access: yes
El carcinoma hepatocelular es una de las principales complicaciones asociadas a la infección crónica por el virus de la hepatitis B. - El objetivo de este trabajo es identificar los factores de riesgo asociados al desarrollo de carcinoma hepatocelular
Gavilán Franco, Paula
core  

Towards comprehensive individual tree species mapping in diverse tropical forests by harnessing temporal and spectral dimensions

open access: yes
To understand how tropical rainforests will adapt to climate change and the extent to which their diversity imparts resilience, precise, taxonomically informed monitoring of individual trees is required.
Jaffer, Sadiq   +8 more
core   +1 more source

Accuracy of the LI-RADS Criteria for Diagnosis of Hepatocellular Carcinoma in Noncirrhotic Patients with Chronic Hepatitis C : A Multicenter Data Analysis

open access: yes
Background and aims: Despite the known risk of HCC beyond chance, the LI-RADS criteria have not been validated for noncirrhotic patients with chronic hepatitis C (CHC). We aimed to evaluate the diagnostic performance of LR-5 observations for HCC in these
김의창
core  

Combining the FIB-4 Index with the aMAP Score to Enhance Prediction of Liver Carcinogenesis in HCV-SVR Patients

open access: yesCombining the FIB-4 Index with the aMAP Score to Enhance Prediction of Liver Carcinogenesis in HCV-SVR Patients
Background and aim: The background of liver carcinogenesis has shifted from viral hepatitis to sustained virological response (SVR) of hepatitis C virus (HCV) due to the advent of direct-acting antiviral agents (DAAs). The aMAP score is useful for predicting liver carcinogenesis in HCV-SVR patients, but limitations remain, particularly in medium- and ...
openaire  

Cooperative learning of Pl@ntNet’s Artificial Intelligence algorithm using label aggregation

open access: yes
National audienceThe Pl@ntNet system enables global data collection by allowing users to upload and annotate plant observations, leading to noisy labels due to diverse user skills.Achieving consensus is crucial for training, but the vast scale of ...
Bonnet, Pierre   +5 more
core   +3 more sources

Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it?

open access: yes
International audienceDeep learning models for plant species identification rely on large annotated datasets. The PlantNet system enables global data collection by allowing users to upload and annotate plant observations, leading to noisy labels due to ...
Bonnet, Pierre   +8 more
core   +1 more source

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