AIMC Topic: Deep Learning

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Visual In-Context Learning for Few-Shot Eczema Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Automated diagnosis of eczema from digital camera images is crucial for applications that allow patients to self-monitor their recovery. An important component of this is the segmentation of eczema region from such images. Current methods for eczema ...
Machine Learning Eczema Humans Deep Learning Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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An Automatic Method for Locating Positions and their Colors Important for Classifying Genders in Retinal Fundus Images by Deep Learning Models.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper proposes an automatic method to identify important positions and their color features in retinal fundus images for gender classification using deep learning. The proposed method consists of MALCC (Model Analysis by Local Color Characterist...
Deep Learning Image Processing, Computer-Assisted Color Automation Humans Algorithms Female Fundus Oculi Male Retina
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Improved Segmentation of Confocal Calcium Videos of Hela Cells Using Deep-Learning-Assisted Watershed Algorithm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The potential of calcium imaging in high-throughput drug screening experiments remains underutilized, primarily because of time-intensive manual identification of cells.To overcome these challenges, we propose to use deep learning enhanced watershed ...
Microscopy, Confocal Calcium HeLa Cells Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Advancing Cuffless Arterial Blood Pressure Waveform Estimation: Time-Series Deep Neural Network Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Existing deep learning models for arterial blood pressure (ABP) estimation are becoming increasingly complex. They mainly treat the estimation as a sequence-to-sequence (seq2seq) task, to establish the relationship between input physiological signals...
Humans Neural Networks, Computer Deep Learning Time Factors Algorithms Blood Pressure Determination Signal Processing, Computer-Assisted Blood Pressure Arterial Pressure
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A comparison between Deep Learning architectures for the assessment of breast tumor segmentation using VSI ultrasound protocol.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Automatic breast tumor ultrasound segmentation is one of the most critical components in the development of tools for breast cancer diagnosis. Several deep learning algorithms have been tested with public and private datasets but none of them has bee...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Ultrasonography, Mammary Neural Networks, Computer Algorithms Breast Neoplasms Deep Learning Female Humans
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3D probe localization from 2D ultrasound images using an RFF-enhanced deep neural network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Peripheral nerve blocking (PNB) via ultrasound (US) imaging offers the advantages of non-invasiveness, nonionizing radiation, and real-time visualization. However, the high cost of 3D US makes the clinicians to imagine the anatomical volume from 2D s...
Fourier Analysis Algorithms Deep Learning Imaging, Three-Dimensional Phantoms, Imaging Ultrasonography Humans Neural Networks, Computer
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EmoNet: Deep Learning-based Emotion Climate Recognition Using Peers' Conversational Speech, Affect Dynamics, and Physiological Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Understanding the emotional dynamics within social interactions is crucial for meaningful interpretation. Despite progress in emotion recognition systems, recognizing the collective emotional climate among peers has been understudied. Addressing this...
Deep Learning Speech Emotions Humans Galvanic Skin Response Peer Group Signal Processing, Computer-Assisted Heart Rate
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Grade classification of nasal obstruction from endoscopy videos using machine learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Nasal obstruction (NO), referring to blockage in the nasal cavity, is prevalent, affecting approximately one-third of the adult population. Consequently, diagnosis typically requires a combination of medical imaging techniques and tests, as NO is oft...
Humans Video Recording Nasal Obstruction Deep Learning Machine Learning Image Processing, Computer-Assisted Endoscopy Support Vector Machine
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Deep Generative Replay-based Class-incremental Continual Learning in sEMG-based Pattern Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Developments in neural networks and sensing technologies have increased focus on modules for surface electromyogram (sEMG)-based pattern recognition. Incremental updating of parameters based on pre-trained networks can flexibly respond to user requir...
Electromyography Pattern Recognition, Automated Algorithms Deep Learning Neural Networks, Computer Humans Machine Learning
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Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle from a Deep-learning Computer Vision Algorithm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously calculated directly from IMU data, counts the number of hand ro...
Humans Clinical Competence Hand Suture Techniques Algorithms Deep Learning
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