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Main Authors:	Wen Zhou, Jihong Wang, Yuhang Wang, Zijie Liu, Chen Yang
Format:	Artículo Open Access
Published:	Wiley 2024
Subjects:	International Journal of Imaging Systems and Technology
Online Access:	https://onlinelibrary.wiley.com/doi/10.1002/ima.23021
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Lung computed tomography image enhancement using U‐Net segmentation
by: Alaa H. Sheer, et al.
Published: (2024)

A systematic review of deep learning methods for the classification and segmentation of prostate cancer on magnetic resonance images
by: R. Deiva Nayagam, et al.
Published: (2024)

End‐to‐end light‐weighted deep‐learning model for abnormality classification in kidney CT images
by: V. Karthikeyan, et al.
Published: (2024)

Cross‐Slice Context Modeling via Hybrid Mamba‐ CNN for Universal Lesion Detection in CT Scans
by: Shanshan Li, et al.
Published: (2026)

MRCM‐UCTransNet: Automatic and Accurate 3D Tooth Segmentation Network From Cone‐Beam CT Images
by: Xinyang Wen, et al.
Published: (2024)

HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X‐Ray images
by: Osamah Taher, et al.
Published: (2024)

Two‐dimensional medical image segmentation based on U‐shaped structure
by: Sijing Cai, et al.
Published: (2024)

An efficient brain tumor segmentation model based on group normalization and 3D U‐Net
by: Runlin Chen, et al.
Published: (2024)

Brain tumor image segmentation algorithm based on multimodal feature fusion of Bayesian weight distribution
by: Ju Li, et al.
Published: (2024)

RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture
by: Syedsafi Shajahan, et al.
Published: (2024)

MSFNet‐2SE: A multi‐scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images
by: Liwen Zhang, et al.
Published: (2024)

DGT ‐ MSB ‐Net: A Transformer‐Based Framework With Boundary Awareness for Accurate Liver Tumor Segmentation in CT Images
by: Wenbin Yang, et al.
Published: (2026)

Efficient multiscale spatial attention3Dabdominal multiorgan segmentation model
by: Chenxi Yan, et al.
Published: (2024)

Robust nuclei segmentation with encoder‐decoder network from the histopathological images
by: Mahesh Gour, et al.
Published: (2024)

Multidimensional perturbed consistency learning for semi‐supervised medical image segmentation
by: Enze Yuan, et al.
Published: (2024)

Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semisupervised Cross nnSU‐Net
by: Yuhua Li, et al.
Published: (2025)

Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
by: Isaac Shiri, et al.
Published: (2024)

DFABU ‐Net: A Dual Parallel Branch Medical Image Segmentation Model With Attention Mechanism
by: Yanxi Zhang, et al.
Published: (2026)

CITMambaNet : Cross Modality Progressive Fusion ITMamba Network for PET ‐ CT Medical Image Segmentation
by: Shikuan Jia, et al.
Published: (2025)

A target region extraction method for ultrasound medical images based on improvedPRIDNetandUCTransNet
by: Jintao Zhai, et al.
Published: (2024)

Evaluation of optimal interpolation and segmentation of the optic nerves on magnetic resonance images for cross‐sectional area measurement
by: Li Sze Chow, et al.
Published: (2024)

A region of interest focused Triple UNet architecture for skin lesion segmentation
by: Guoqing Liu, et al.
Published: (2024)

Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention
by: Guohao Xu, et al.
Published: (2024)

DCFU‐Net: Rethinking an Effective Attention and Convolutional Architecture for Retinal Vessel Segmentation
by: Yongli Xian, et al.
Published: (2024)

An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning
by: C. Sahaya Pushpa Sarmila Star, et al.
Published: (2024)

Interpretable Model Based on CT Radiomics and Deep Learning Features for Distinguishing Typical Signs of Secondary Pulmonary Tuberculosis
by: Zhenzhen Wan, et al.
Published: (2025)

Improving Image Quality of Thin‐Slice and Low‐ keV Images in Dual‐Energy CT Angiography for Children With Neuroblastoma Using Deep Learning Image Reconstruction
by: Jihang Sun, et al.
Published: (2025)

An AG‐RetinaNet for Embryonic Blastomeres Detection and Counting
by: Wenju Zhou, et al.
Published: (2025)

Polyp segmentation network based on lightweight model and reverse attention mechanisms
by: Jianwu Long, et al.
Published: (2024)

Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours
by: Cong Hu, et al.
Published: (2024)

A customized ConvNeXt‐XL network with fusion of deep and handcrafted features for colposcopy image classification
by: Thendral Natarajan, et al.
Published: (2024)

A Novel Network With Spectrum Transformer and Triplet Attention for CT Image Segmentation
by: Ju Zhang, et al.
Published: (2025)

3D MedicalDet ‐Mamba: A Hybrid Mamba‐ CNN Network for Medical Object Detection and Localization
by: Shanshan Li, et al.
Published: (2025)

FDT‐Net: Frequency‐Aware Dual‐Branch Transformer‐Based Optic Cup and Optic Disk Segmentation With Parallel Contour Information Mining and Uncertainty‐Guided Refinement
by: Jierui Gan, et al.
Published: (2024)

Skin lesion classification based on hybrid self‐supervised pretext task
by: Dedong Yang, et al.
Published: (2024)

Machine Learning Assisted Differential Diagnosis of Pulmonary Nodules Based on 3D Images Reconstructed From CT Scans
by: Xiao‐Yuan Wang, et al.
Published: (2025)

A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy‐preserving federated learning
by: Şevket Ay, et al.
Published: (2024)

MAUNet: Polyp segmentation network based on multiscale feature fusion of attention U‐shaped network structure
by: Jianwu Long, et al.
Published: (2024)

An interpretable deep learning Bayesian optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images
by: Sihem Nour Elhouda Toumi, et al.
Published: (2024)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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