RADIOMICS | Blog

2024-10-31T06:23:00Z

MITK

HiCur-NPC: Hierarchical Feature Fusion Curriculum Learning for Multi-Modal Foundation Model in Nasopharyngeal Carcinoma

Keywords:

A subset of test datasets; diagnosis; segmentation; and prognosis tasks

Radiomics Permalink 1167
2020-11-24T01:23:15Z

MITK

Multi-task deep learning-based radiomic nomogram for prognosis and treatment decision in nasopharyngeal carcinoma patients: a multicenter study

Keywords:

Multi-task deep learning; Radiomic nomogram; Survival analysis; Treatment decision; Nasopharyngeal carcinoma.

Radiomics Permalink 5820
2020-08-26T01:59:56Z

MITK

A Deep Learning Prognosis Model Help Alert to COVID-19 Patients at High-Risk of Death

Keywords:

Prognosis; Covid-19; High-risk; Deeping Learning

Radiomics Permalink 5172
2020-02-29T12:32:07Z

MITK

Deeping Learning Can Aid in Identifying the Coronavirus Disease 2019 (COVID-19) from CT images: A Multi-center Study

Keywords:

COVID-19; Deeping Learning

Radiomics Permalink 7695
2019-01-18T20:19:31Z

MITK

Deep learning radiomic nomogram can predict the number of lymph mode metastasis in patients with advanced gastric cancer

Keywords:

DLRN; cancer; CT; nomogram; AGC; gastric; radiomic; advanced

Radiomics Permalink 7316
2018-05-18T13:26:35Z

MITK

Individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer

Keywords:

Radiomics; occult peritoneal metastasis; advanced gastric cancer; pre-operation diagnosis

Radiomics Permalink 9968
2022-07-13T09:17:00Z

MITK

A radiogenomic clinical decision support system to inform individualized treatment in advanced nasopharyngeal carcinoma

Keywords:

CCRT; clinical; NPC; system; nasopharyngeal; carcinoma; ICT; radiogenomic

Radiomics Permalink 4241
2021-11-22T02:33:33Z

MITK

Dual-input transformer: an end-to-end model for preoperative assessment of pathological complete response to neoadjuvant chemotherapy in breast cancer ultrasonography

Keywords:

time; model; our; US; NAC; multi; images; treatment

Radiomics Permalink 4661
2021-10-06T03:23:24Z

MITK

Deep-learning on biopsy whole-slide images for response prediction of neoadjuvant chemotherapy in breast cancer: a multicentre study

Keywords:

Breast cancer; Neoadjuvant chemotherapy; Pathological complete response; Whole-slide image; Deep learning

Radiomics Permalink 4007
2021-06-15T08:13:34Z

MITK

Dual-energy computed tomography-based deep learning radiomics for predicting lymph node metastases of pancreatic ductal adenocarcinoma

Keywords:

Lymph node metastases; Pancreatic ductal adenocarcinoma; Deep-learning; Dual-engrgy computed tomography; Prognosis.

Radiomics Permalink 4303

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