Zobrazeno 1 - 10
of 177 881
pro vyhledávání: '"deep learning model"'
Balancing mutually diverging performance metrics, such as, processing latency, outcome accuracy, and end device energy consumption is a challenging undertaking for deep learning model inference in ad-hoc edge environments. In this paper, we propose E
Externí odkaz:
http://arxiv.org/abs/2410.12221
Autor:
Goswami, Buddhadev, Somaraj, Adithya B., Chakrabarti, Prantar, Gudi, Ravindra, Punjabi, Nirmal
Hematological disorders, which involve a variety of malignant conditions and genetic diseases affecting blood formation, present significant diagnostic challenges. One such major challenge in clinical settings is differentiating Erythroblast from WBC
Externí odkaz:
http://arxiv.org/abs/2411.15592
Gastrointestinal (GI) diseases represent a significant global health concern, with Capsule Endoscopy (CE) offering a non-invasive method for diagnosis by capturing a large number of GI tract images. However, the sheer volume of video frames necessita
Externí odkaz:
http://arxiv.org/abs/2410.19151
Autor:
Maleki, Mohammadjavad, Zahiri, Sobhan
The physicochemical properties of chemical compounds have great importance in several areas, including pharmaceuticals, environmental and separation science. Among these are physicochemical properties such as the octanol-water partition coefficient,
Externí odkaz:
http://arxiv.org/abs/2410.18118
Prior research has demonstrated the effectiveness of end-to-end deep learning for robotic navigation, where the control signals are directly derived from raw sensory data. However, the majority of existing end-to-end navigation solutions are predomin
Externí odkaz:
http://arxiv.org/abs/2410.07447
Autor:
Kazimierczak, Wojciech1,2,3 (AUTHOR) wojtek.kazimierczak@gmail.com, Wajer, Róża1,2 (AUTHOR), Komisarek, Oskar4 (AUTHOR), Dyszkiewicz-Konwińska, Marta5 (AUTHOR), Wajer, Adrian6 (AUTHOR), Kazimierczak, Natalia3 (AUTHOR), Janiszewska-Olszowska, Joanna7 (AUTHOR), Serafin, Zbigniew8 (AUTHOR)
Publikováno v:
Diagnostics (2075-4418). Nov2024, Vol. 14 Issue 21, p2410. 14p.
Precise breast cancer classification on histopathological images has the potential to greatly improve the diagnosis and patient outcome in oncology. The data imbalance problem largely stems from the inherent imbalance within medical image datasets, w
Externí odkaz:
http://arxiv.org/abs/2411.17870
Autor:
Erbas, Ismail, Pandey, Vikas, Nizam, Navid Ibtehaj, Yuan, Nanxue, Verma, Amit, Barosso, Margarida, Intes, Xavier
Fluorescence lifetime imaging (FLI) is an important molecular imaging modality that can provide unique information for biomedical applications. FLI is based on acquiring and processing photon time of arrival histograms. The shape and temporal offset
Externí odkaz:
http://arxiv.org/abs/2411.16896
Underwater environments pose significant challenges due to the selective absorption and scattering of light by water, which affects image clarity, contrast, and color fidelity. To overcome these, we introduce OceanLens, a method that models underwate
Externí odkaz:
http://arxiv.org/abs/2411.13230
Applications in behavioural research, human-computer interaction, and mental health depend on the ability to recognize emotions. In order to improve the accuracy of emotion recognition using electroencephalography (EEG) data, this work presents a hyb
Externí odkaz:
http://arxiv.org/abs/2411.17715