过去一年中添加的文章,按日期排序
Breast tumor detection using multi‐feature block based neural network by fusion of CT and MRI images
23 天前 - … must automatically examine breast and tumor locations and … tomography and
magnetic resonance imaging alterations. A … The proposed technique outperforms state-of-the-art …
magnetic resonance imaging alterations. A … The proposed technique outperforms state-of-the-art …
[PDF][PDF] Automated Tumor Detection in Medical Imaging Using Deep Learning
K Sheriffdeen - 2024 - easychair.org
38 天前 - … MRI, CT, and X-rays. The study begins with an extensive review of the current
state-of-the-art … tumors, although less detailed for soft tissue analysis compared to MRI and CT. …
state-of-the-art … tumors, although less detailed for soft tissue analysis compared to MRI and CT. …
BTSSPro: Prompt-Guided Multimodal Co-Learning for Breast Cancer Tumor Segmentation and Survival Prediction
W Li, T Liu, F Feng, S Yu, H Wang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
40 天前 - … score of 0.715 on the Breast MRINACT-Pilot dataset and a C-index of 0.807 and
Dice score of 0.791 on the ISPY1 dataset, surpassing the previous stateof-the-art methods. …
Dice score of 0.791 on the ISPY1 dataset, surpassing the previous stateof-the-art methods. …
BrainCDNet: a concatenated deep neural network for the detection of brain tumors from MRI images
40 天前 - … lower than that of other cancer types (breast, skin, lung, etc.)… forms of magnetic
resonance imaging (MRI) databases … datasets compared to the state-of-the-art approaches, with …
resonance imaging (MRI) databases … datasets compared to the state-of-the-art approaches, with …
A Unified Circular-Polarization Metamaterial-Resonator for Increasing Snr of Breast MRI
Y Jia, Y Pang, R Jin, Y Liu, X Xiao, Q Ren… - Available at SSRN … - papers.ssrn.com
50 天前 - … The radio frequency (RF) magnetic field generated by the body coil is circularly
polarized, but state-of-the-art breast resonators can only perform linear-polarization magnetic …
polarized, but state-of-the-art breast resonators can only perform linear-polarization magnetic …
Incisionless Precision Surgery with MR Imaging–Guided Focused Ultrasound: A Look into the Future
D Gandhi, GF Woodworth - Magnetic Resonance Imaging Clinics, 2024 - mri.theclinics.com
66 天前 - … by state-of-the-art reviews describing its current applications in the breast,
musculoskeletal system, gynecology, prostate as well as brain surgery. MR imaging guidance is a …
musculoskeletal system, gynecology, prostate as well as brain surgery. MR imaging guidance is a …
Brain tumor classification using convolutional neural networks
C Harika, A Mehta - Advances in Networks, Intelligence and Computing - taylorfrancis.com
77 天前 - … Evaluation of tumors of the brain, lung, liver, breast, … In particular, this study used
MRI images to identify brain … the lowest complexity estimate of all other state-of-the-art methods. …
MRI images to identify brain … the lowest complexity estimate of all other state-of-the-art methods. …
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
80 天前 - … Additionally we compare state-of-the-art (SOTA) approaches on our … breast cancer
MRI datasets. The source code has been made available at https://irulenot.github.io/BC MRI …
MRI datasets. The source code has been made available at https://irulenot.github.io/BC MRI …
[HTML][HTML] Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
A Carriero, L Groenhoff, E Vologina, P Basile, M Albera - Diagnostics, 2024 - mdpi.com
81 天前 - … of AI-based breast MRI interpretation in real world scenarios are still lacking. …
segmentation of breast cancer on dynamic contrast-enhanced MRI (DCE-MRI) examinations. This …
segmentation of breast cancer on dynamic contrast-enhanced MRI (DCE-MRI) examinations. This …
MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI
F Ceccarelli, SB Holden, P Liò - 2024 - repository.cam.ac.uk
85 天前 - … state-of-the-art, the integration capability of MUGI- MRI … in the realm of DCE-MRI.
Our findings strongly indicate that the … While applied to MRI sequences, our approach can be …
Our findings strongly indicate that the … While applied to MRI sequences, our approach can be …