Fig. 1: Dataset. | Communications Medicine

Fig. 1: Dataset.

From: A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models

Fig. 1

a Schematic of the experimental protocol and the time of shear wave elastography (SWE) measurements. Analysis of SWE images based on b the therapy applied and c the cancer cell lines, along with the corresponding distribution of images among the three classes: response, stable, and non-response. The dataset comprises a total of 1365 images. The specific cancer cell lines included are the murine mammary adenocarcinomas (breast tumors) 4T1 and E0771, the fibrosarcoma MCA205, the osteosarcoma K7M2, and the melanoma B16F10. d Representative SWE images accompanied by B -mode images, with dashed lines indicating the tumor region of interest (ROI). The images were taken prior to initiation of chemo-immunotherapy when tumors in all groups were approximately 350 mm³ in volume and they were used to predict tumor response to therapy.

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