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Št. zadetkov: 8
How deeply to fine-tune a convolutional neural network
Ibrahem Kandel, Mauro Castelli
Izvirni znanstveni članek
Oznake:
Accurate classification of medical images is of great importance for correct disease diagnosis. The automation of medical image classification is of great necessity because it can provide a second opinion or even a better classification in case of a shortage of experienced medical staff. Convolution ...
Leto: 2020 Vir: Ekonomska fakulteta (UL EF)
ǂA ǂnovel architecture to classify histopathology images using convolutional neural networks
Ibrahem Kandel, Mauro Castelli
Izvirni znanstveni članek
Oznake:
Histopathology is the study of tissue structure under the microscope to determine if the cells are normal or abnormal. Histopathology is a very important exam that is used to determine the patients’ treatment plan. The classification of histopathology images is very difficult to even an experienced ...
Leto: 2020 Vir: Ekonomska fakulteta (UL EF)
Transfer learning with convolutional neuralnetworks for diabetic retinopathy imageclassification
Ibrahem Kandel, Mauro Castelli
Pregledni znanstveni članek
Oznake:
Diabetic retinopathy (DR) is a dangerous eye condition that affects diabetic patients. Without early detection, it can affect the retina and may eventually cause permanent blindness. The early diagnosis of DR is crucial for its treatment. However, the diagnosis of DR is a very difficult process that ...
Leto: 2020 Vir: Ekonomska fakulteta (UL EF)
ǂThe ǂeffect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset
Ibrahem Kandel, Mauro Castelli
Izvirni znanstveni članek
Oznake:
Many hyperparameters have to be tuned to have a robust convolutional neural network that will be able to accurately classify images. One of the most important hyperparameters is the batch size, which is the number of images used to train a single forward and backward pass. In this study, the effect ...
Leto: 2020 Vir: Ekonomska fakulteta (UL EF)
Improving convolutional neural networks performance for image classification using test time augmentation
Ibrahem Kandel, Mauro Castelli
Izvirni znanstveni članek
Oznake: image classification;convolutional neural networks;transfer learning;test time 29 augmentation;deep learning;ensemble learning;
Bone fractures are one of the main causes to visit the emergency room (ER); the primary method to detect bone fractures is using X-Ray images. X-Ray images require an experienced radiologist to classify them; however, an experienced radiologist is not always available in the ER. An accurate automati ...
Leto: 2021 Vir: Ekonomska fakulteta (UL EF)
Comparative study of first order optimizers for image classification using convolutional neural networks on histopathology images
Ibrahem Kandel, Mauro Castelli, Aleš Popovič
Izvirni znanstveni članek
Oznake: informatika;programiranje;prenos znanja;kognitivna znanost;neuroscience;
The classification of histopathology images requires an experienced physician with years of experience to classify the histopathology images accurately. In this study, an algorithm was developed to assist physicians in classifying histopathology images; the algorithm receives the histopathology imag ...
Leto: 2020 Vir: Ekonomska fakulteta (UL EF)
Musculoskeletal images classification for detection of fractures using transfer learning
Ibrahem Kandel, Mauro Castelli, Aleš Popovič
Izvirni znanstveni članek
Oznake: informatika;programiranje;prenos znanja;kognitivna znanost;neuroscience;
The classification of the musculoskeletal images can be very challenging, mostly when it is being done in the emergency room, where a decision must be made rapidly. The computer vision domain has gained increasing attention in recent years, due to its achievements in image classification. The convol ...
Leto: 2020 Vir: Ekonomska fakulteta (UL EF)
Comparing stacking ensemble techniques to improve musculoskeletal fracture image classification
Ibrahem Kandel, Mauro Castelli, Aleš Popovič
Izvirni znanstveni članek
Oznake: informatika;programiranje;prenos znanja;kognitivna znanost;neuroscience;
Bone fractures are among the main reasons for emergency room admittance and require a rapid response from doctors. Bone fractures can be severe and can lead to permanent disability if not treated correctly and rapidly. Using X-ray imaging in the emergency room to detect fractures is a challenging ta ...
Leto: 2021 Vir: Ekonomska fakulteta (UL EF)
Št. zadetkov: 8
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